Role Summary

We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.

What Makes This Role Different

This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:

• Use AI coding assistants daily to accelerate development without sacrificing code quality.
• Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
• Share best practices for AI-assisted workflows with the broader engineering team.
• Help define team standards for responsible and effective AI tool adoption.

Key Responsibilities

1  Feature Engineering & Delivery

• Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
• Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
• Translate product requirements and technical specifications into clean, maintainable implementations.
• Lead feature squads for medium-complexity initiatives from design through deployment.
• Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.

2  AI-Augmented Development Practices

• Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
• Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
• Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
• Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
• Stay updated on the latest AI development tooling and evaluate new tools for team adoption.

3  Code Quality & Engineering Excellence

• Write testable, modular, and well-documented code following the team's style guides and design principles.
• Drive test-driven development (TDD) and maintain code coverage targets.
• Perform thorough code reviews with constructive feedback; uphold engineering standards.
• Identify and address technical debt proactively; contribute to architecture improvements.
• Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.

4  Architecture & Technical Design

• Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
• Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
• Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
• Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.

5  Mentoring & Team Growth

• Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
• Onboard new team members by sharing codebase context, tooling setup, and team practices.
• Contribute to a culture of psychological safety, learning from failures, and continuous improvement.

6  Cross-functional Collaboration

• Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
• Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
• Participate in customer-facing escalations where deep technical expertise is required.

Required Qualifications

1  Education

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.

2  Experience

• 3 – 5 years of professional software engineering experience in a product-focused environment.
• Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
• Track record of shipping production features end-to-end with measurable business impact.

3  Technical Skills — Core Engineering

• Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
• Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
• Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
• Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.

4  AI Tooling Skills (Mandatory)

• Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
• Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
• Experience reviewing and validating AI-generated code for correctness and security.
• Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).

5  Nice to Have

• Contributions to open-source projects.
• Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
• Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
• Experience in a startup or scale-up environment with rapid iteration cycles.
• Knowledge of web security (OWASP Top 10, secure coding practices).

Behavioural Competencies

• AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
• Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
• Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
• Mentorship: Invests in the growth of peers and junior colleagues.
• Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
• Curiosity: Continuously explores new tools, languages, and architectural patterns.
• Collaboration: Works well in cross-functional squads; builds trust quickly.

Role Summary

We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function.

You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products.

Key Responsibilities

1  Technical Vision & Architecture

• Define and own the end-to-end technical architecture for AI Systems — spanning product feature surfaces, model inference APIs, and agentic toolchains.
• Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads.
• Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team.
• Evaluate emerging AI infrastructure patterns (RAG, agentic orchestration, vector stores, model serving) and guide adoption decisions.
• Own the technical roadmap for AI tooling, developer productivity, and model integration layers.

2  Cross-Squad Technical Leadership

• Act as the primary technical liaison between the AI/ML Developer (model side) and Senior Engineers (product side), ensuring smooth API contracts, evaluation loops, and deployment handoffs.
• Provide technical direction to Agentic Systems interns, reviewing designs, code, and agentic pipeline implementations.
• Unblock senior engineers on hard architectural or integration challenges that span squad boundaries.
• Run cross-team design reviews, architecture syncs, and engineering guild sessions.

3  AI-Augmented Engineering Excellence

• Define and maintain the organisation’s standards for AI-assisted development — covering context engineering, AI code review protocols, context management, and tool evaluation criteria.
• Maintain and evolve the internal AI tooling playbook (Cursor IDE, Claude Code, Codex CLI, and emerging tools).
• Evaluate new AI coding tools, agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), and developer-productivity platforms; produce adoption recommendations with measured trade-offs.
• Conduct structured audits of AI-generated code across squads for correctness, security, and maintainability.

4  Hands-On Engineering

• Remain an active contributor: own critical-path features, prototype architectural spikes, and build shared infrastructure components used across squads.
• Personally drive resolution of the most complex production incidents and root-cause analyses.
• Review and merge high-impact PRs; maintain the highest code review quality bar on the team.
• Own observability and reliability for AI inference and MLOps integration layers in production.

5  Mentoring & Talent Development

• Mentor Senior Engineers, the AI/ML Developer, and interns through technical coaching, design feedback, and stretch assignments.
• Lead hiring panels and technical interviews; help define and uphold the engineering hiring bar.
• Contribute to onboarding frameworks that embed AI-first practices from day one.
• Model a culture of rigorous experimentation, psychological safety, and continuous improvement.

6  Stakeholder & Product Collaboration

• Partner with the Director of Engineering and Product leadership to translate product strategy into a phased technical roadmap.
• Present architectural proposals and trade-off analyses to engineering leadership and executive stakeholders as required.
• Coordinate with DevOps/Platform teams on GPU/TPU compute provisioning, CI/CD for model pipelines, and cloud cost optimisation.

Required Qualifications

1  Education

• Bachelor’s or Master’s degree in Computer Science, or a related field.
• Candidates without a degree but with a compelling portfolio demonstrating scope and impact at staff/lead level will be considered.

2  Experience

• 6 – 8 years of professional software engineering experience in product-focused environments.
• Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
• Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
• Proven track record of shipping production systems with measurable business impact at scale.
• Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.

3  Technical Skills — Core Engineering

• Languages: Expert proficiency in at least two of — Python, TypeScript/JavaScript, Go.
• Architecture: Microservices, event-driven systems, API design (REST, GraphQL, gRPC), distributed systems fundamentals.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis); vector databases (FAISS, Pinecone, Weaviate).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, managed ML services (SageMaker, Vertex AI).
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins); IaC (Terraform/Pulumi); observability stacks.
• Testing: TDD/BDD; unit, integration, and e2e frameworks; model evaluation pipelines.

4  AI / ML Integration Skills (Mandatory)

• Demonstrated proficiency with AI coding assistants (Cursor IDE, Claude Code, Codex CLI) in daily professional workflows.
• Experience designing and consuming LLM/SLM inference APIs; understanding of model serving, latency, and cost trade-offs.
• Hands-on familiarity with RAG architectures, vector stores, and retrieval pipelines.
• Ability to define and enforce AI code quality standards across an engineering team.
• Understanding of LLM limitations: hallucinations, context window constraints, prompt injection risks, and licensing considerations.

5  Technical Skills — Nice to Have

• Experience with SLM/LLM training or fine-tuning pipelines (SFT, RLHF, LoRA/QLoRA).
• Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and multi-step reasoning pipelines.
• Contributions to open-source ML or developer tooling projects.
• Knowledge of OWASP Top 10, secure coding, and AI-specific security risks (prompt injection, model exfiltration).
• Prior experience in a high-growth startup or scale-up environment with rapid iteration cycles.

Behavioural Competencies

• AI-First Mindset: Defaults to AI tools to accelerate work while maintaining rigorous quality standards; actively pushes the team’s AI capability forward.
• Systems Thinking: Sees the full picture — how model outputs, product surfaces, and infrastructure interdepend; anticipates second-order effects of architectural choices.
• Ownership: Takes end-to-end responsibility from design through production; doesn’t hand off problems, solves them.
• Influence Without Authority: Earns trust through technical credibility; drives alignment through persuasion, data, and well-reasoned proposals.
• Communication: Writes clear design docs, ADRs, and post-mortems; articulates complex trade-offs for engineering peers and non-technical stakeholders.
• Mentorship: Actively invests in the growth of engineers at all levels; gives direct, constructive feedback.
• Pragmatism: Balances the ideal with the shipped; knows when to iterate vs. refactor vs. rewrite.
• Curiosity: Continuously explores emerging research, tools, and patterns — and brings those learnings back to the team.

Role Summary

We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.

Key Responsibilities

1  Model Design & Training

• Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
• Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
• Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
• Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
• Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.

2  Model Evaluation & Quality

• Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
• Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
• Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
• Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.

3  MLOps & Deployment

• Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
• Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
• Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
• Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.

4  Research & Innovation

• Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
• Contribute to internal knowledge sharing, technical documentation, and model cards.
• Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
• Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.

5  Collaboration & Stakeholder Management

• Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
• Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
• Participate in architecture reviews, sprint planning, and cross-functional design discussions.

Required Qualifications

1  Education

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
• Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.

2  Experience

• 4 – 6 years of professional experience in machine learning or NLP engineering.
• Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
• Demonstrable experience taking a model from dataset preparation through to production deployment.

3  Technical Skills — Core

• Programming: Python (proficient); familiarity with C++/CUDA a plus.
• Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
• NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
• Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
• Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
• Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
• Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
• Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.

4  Technical Skills — Nice to Have

• Experience with multimodal models or vision-language models (VLMs).
• Knowledge of model safety, alignment techniques, and responsible AI frameworks.
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
• Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.

Behavioural Competencies

• Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
• Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
• Ownership: Takes full accountability for model quality, timelines, and production reliability.
• Collaboration: Works effectively in cross-functional teams with diverse skill sets.
• Communication: Distils complex technical concepts for diverse audiences.
• Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.

ABOUT KHAN ACADEMY

Khan Academy is a fast-paced, nonprofit startup on a mission to provide a free, world-class education for anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of world-class instructional and practice resources that empowers learners. Whether they’re studying matrices, mitosis, or multivariable calculus, we want to offer students the resources to realize that they can learn anything. 

ABOUT KHAN ACADEMY INDIA

Khan Academy India aims to deliver a world class user experience that is locally relevant to learners in India and is enabled by a strong on-the-ground team and operations. Our learning system is mastery based, which allows students to master key concepts at a pace that is right for them before moving on to more challenging content. From serving under 500,000 learners in 2016, we are now serving almost 4 million learners a month across our websites, apps and youtube channels. These learners include both independent learners accessing us at home and teacher directed learners in schools. Our focus is to reach the underserved by making our content  accessible in local languages and by working with large public school systems. Khan Academy is available in Hinglish, Hindi, Gujarati, Assamese,  Marathi, Punjabi and Kannada.

ABOUT THE ROLE

We are looking for a person who will help us with data management, transformation, analysis and visualization. The primary focus will be on choosing optimal tools to use for these purposes and then maintaining, implementing, and monitoring them. Optimally you have knowledge of at least one dynamic language and SQL, a good business mindset, and data analysis competencies.

Please note that this is a 12-months contract role, subject to extension further. 

In this role you will: 

• Data Integration: Automate ingestion of data from multiple sources (e.g., Google Sheets, APIs, internal systems) into BigQuery
• Database Management: Design, build, and maintain scalable data pipelines and workflows in BigQuery; Ensure data accuracy, consistency, and reliability
• Exploratory Analysis: Perform descriptive and diagnostic analyses to uncover trends, patterns, and insights.
• Business Reporting: Build dashboards, reports, and visualizations (e.g., in Streamlit, Looker Studio, Tableau, or similar tools) to support decision-making.
• KPI Definition & Tracking: Partner with stakeholders to define key business metrics and create systems for daily, weekly and monthly tracking as needed
• Data Storytelling: Translate complex datasets into clear, actionable insights for both technical and non-technical audiences

ABOUT YOU

You are someone with:  

• Experience with Education or EdTech industry is strongly preferred
• A willingness to roll up your sleeves and help the team get work done as we are growing 
• 4+ years of hands on experience in data analytics field, ideally in an education setting
• Knowledge of advanced statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
• Strong SQL foundations & ability to manipulate data using R or Python
• Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling, BI tools, Bigquery)
• Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams, experience with BI tools is a plus
• Ability to work collaboratively with cross-functional teams to research and improve our content and products
• Being aware of good practices when collaborating in version control (Git)

PERKS AND BENEFITS

We may be a non-profit, but we reward our talented team like a for-profit.

• Competitive salaries and Meritocracy-driven, candid culture
• A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
• The ability to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Remote work friendly, i.e. option to work from home; flexible schedules

LEARN MORE

• Sal’s TED talk from 2011
• Sal’s TED talk from 2015
• Sal’s TED talk from 2023
• A glimpse of our team:  http://www.khanacademy.org/about/the-team
• A glimpse of our content created: https://www.youtube.com/watch?v=ED8P8vchQJM
• Our Hinglish content in action: http://bit.ly/khanacademyyoutube 

HOW TO APPLY

• Complete the pre-work assignment here and submit your assignments below. Assignment submission is mandatory. We will not consider any application without the proper submission
• Attach your resume or LinkedIn URL in the space provided below. 
• Please submit a google drive link of your assignment
• Make sure you have enabled view access for anyone with the link.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

Team Description 

As part of the ADO Platform Enablement team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for shaping enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. 

Your Impact 

Team Leadership & Development 

• Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs 

• Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth 

• Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery 

• Champion engineering culture that balances pragmatic delivery with sustainable practices 

Delivery Excellence 

• Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles 

• Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction 

• Apply and evangelize proper use of DORA metrics to measure and improve team performance 

• Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule 

• Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements 

Technical Strategy & Collaboration 

• Partner closely with architects to align implementation patterns with long-term technical direction 

• Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences 

• Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns 

• Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services 

• Contribute to technical planning, architecture decisions, and incident retrospectives 

Platform & Product Mindset 

• Apply product thinking to platform solutions, ensuring they meet real business and customer needs 

• Champion innovation in performance, tooling, and platform capabilities 

• Oversee design and delivery of full stack solutions spanning React, Java, and Python 

• Facilitate cross-functional collaboration across engineering, product, and architecture 

Your Qualifications 

Leadership & Management 

• 10+ years of software engineering experience with 5+ years in engineering management or technical leadership 

• Proven track record managing teams through significant process transformations (e.g., monthly to daily releases) 

• Experience managing both technical leads/Principal Engineers and individual contributors 

• Demonstrated ability to scale teams thoughtfully based on demand, not politics 

Technical Depth 

• Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments 

• Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) 

• Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions 

• Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows 

Delivery & Process 

• Pragmatic approach to balancing process, documentation, and speed of delivery 

• Deep understanding of DORA metrics and their proper application to drive improvement 

• Experience leading high-velocity engineering organizations with daily release cadence 

• Skilled at change management and cultural transformation in engineering teams 

Communication & Collaboration 

• Exceptional communication skills—written and verbal—with ability to influence across all levels 

• Experienced creating executive-level strategy documents, roadmaps, and presentations 

• Comfortable working with globally distributed teams across multiple timezones 

• Strong collaborative partnership with Product Management; proactive problem-solving mindset 

Preferred Skills 

• Track record of building trust rapidly in new environments 

• Passion for technical mentorship and elevating team capabilities 

• Experience scaling systems and teams under high throughput demands 

• Ability to navigate ambiguity and drive delivery without perfect information 

• Comfort with asynchronous collaboration and remote team dynamics 

• Experience in hybrid engineering-management roles (player-coach background) 

Team Description 

As part of the ADO team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for Quality/Performance assuring enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. 

Your Impact 

Team Leadership & Development 

• Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs 

• Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth 

• Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery 

• Champion engineering culture that balances pragmatic delivery with sustainable practices 

Delivery Excellence 

• Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles 

• Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction 

• Apply and evangelize proper use of DORA metrics to measure and improve team performance 

• Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule 

• Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements 

Technical Strategy & Collaboration 

• Partner closely with architects to align implementation patterns with long-term technical direction 

• Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences 

• Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns 

• Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services 

• Contribute to technical planning, architecture decisions, and incident retrospectives 

Platform & Product Mindset 

• Apply product thinking to platform solutions, ensuring they meet real business and customer needs 

• Champion innovation in performance, tooling, and platform capabilities 

• Oversee design and delivery of full stack solutions spanning React, Java, and Python 

• Facilitate cross-functional collaboration across engineering, product, and architecture 

Your Qualifications 

Leadership & Management 

• 10+ years of software engineering experience with 5+ years in engineering management or technical leadership 

• Proven track record managing teams through significant process transformations (e.g., monthly to daily releases) 

• Experience managing both technical leads/Principal Engineers and individual contributors 

• Demonstrated ability to scale teams thoughtfully based on demand, not politics 

Technical Depth 

• Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments 

• Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) 

• Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions 

• Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows 

Delivery & Process 

• Pragmatic approach to balancing process, documentation, and speed of delivery 

• Deep understanding of DORA metrics and their proper application to drive improvement 

• Experience leading high-velocity engineering organizations with daily release cadence 

• Skilled at change management and cultural transformation in engineering teams 

Communication & Collaboration 

• Exceptional communication skills—written and verbal—with ability to influence across all levels 

• Experienced creating executive-level strategy documents, roadmaps, and presentations 

• Comfortable working with globally distributed teams across multiple timezones 

• Strong collaborative partnership with Product Management; proactive problem-solving mindset 

Preferred Skills 

• Track record of building trust rapidly in new environments 

• Passion for technical mentorship and elevating team capabilities 

• Experience scaling systems and teams under high throughput demands 

• Ability to navigate ambiguity and drive delivery without perfect information 

• Comfort with asynchronous collaboration and remote team dynamics 

• Experience in hybrid engineering-management roles (player-coach background) 

ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives. 

ClearView’s Data & Analytics practice is looking for motivated individuals to join our team as Data Analysts to accelerate the continued growth of our capabilities. Members of the data team work closely with the consulting staff and senior leadership to solve complex and unique problems in the life sciences. The data analysts will leverage common tools (i.e., SAS, SQL, R, and Python), large data sets, and creativity to build models and processes to support ClearView’s clients.

Responsibilities: 

As a Data Analyst, you will interact with internal and external teams to address critical strategic questions within the biopharmaceutical space. During the course of a typical project, you will: 

• Collect, clean, mine, and analyze data. 

• Serve as a knowledge resource for the consulting staff regarding statistics, machine learning, and life sciences data. 

• Design and create advanced models to drive analytically driven strategy projects. 

• Innovate project approaches and identify new life sciences problems to solve with analytics. 

• Aid in team building by making code scalable through templates, macros, or interfaces. 

• Clearly communicate analytical techniques and findings from analyses in a non-technical manner. 

• Work in a high-performance, strongly collegial, and collaborative environment. 

Requirements 

The successful candidate for the Data Analyst role must have the following skills and experience: 

• Bachelor’s degree or above in Statistics, Mathematics, Machine Learning, Physics, or a related field. 

• Relevant experience of 1-3 years working on insurance claims and EHR databases – IQVIA (LAAD), Komodo (Sentinel), Forian, Compile and others.   

• Experience with large data manipulation in SAS or SQL interfaces. 

• Experience with life science APIs & public datasets (e.g., PubMed, OpenTrials, CMS, CDC, etc.). 

• Experience in at least one of the following areas: 

• Excel modeling (using a spreadsheet to make quantitative predictions based on a series of underlying assumptions). 

• Common machine learning models (e.g., neural networks, support vector machines, decision trees). 

• Advanced regression models (e.g., Bayesian, hierarchical, non-linear). 

• Unsupervised learning. 

• Advanced time series. 

• Detail-oriented with the ability to dive deep into business processes, data, and analytics. 

• Independent, creative, and driven quantitative thinker.
• Role is based out of our Gurgaon, India office.  

Tesco Media & Insight Platform is a partnership between Tesco, the UK’s largest grocery retailer, and dunnhumby. Fueled by first‑party behavioral data from over 23 million Clubcard holders, we help brands understand consumer behaviors and reach the right customers, at the right time, with the right message across the full marketing funnel. Our closed‑loop measurement connects what customers see with what they buy, helping brands Shape What Britain Buys and maximize the impact of every pound of media investment.

Roles and Responsibilities 

As a Senior AI Engineer, you will be a hands‑on technical contributor designing, building and operating production‑grade GenAI and agentic AI solutions that power Tesco Media & Insight Platform’s global products and services. You will work closely with the AI Engineering Manager, Product, Data Science and Engineering teams to turn business problems into secure, scalable, observable AI systems that deliver measurable value for brands and shoppers.

• Design and implement GenAI and agentic AI solutions on GCP, leveraging Vertex AI (models, endpoints, pipelines, vector search/RAG, Agent Builder) and core GCP services.
• Build AI agents and multi‑step agentic workflows, including tool calling, orchestration, and integrations with internal and external systems.
• Contribute to the design of MCP servers and agent‑to‑agent / agent‑to‑application protocols to enable safe, reliable automation of retail media and insight use cases.
• Work with the AI Engineering Manager and architects to define solution designs, interface contracts and non‑functional requirements (security, reliability, performance, cost).
• Implement security, privacy and governance controls in AI solutions, including safe prompt and tool design, data protection, secrets management and access control.
• Apply DevOps/MLOps practices: contribute to CI/CD pipelines for models, prompts and agents; use infrastructure as code; support environment management and automated testing.
• Implement observability for AI systems: instrument prompts, model calls, tools and agents with tracing, metrics and logs; build and maintain dashboards and alerts.
• Help define and run AI testing and evaluation strategies, including automated tests, offline and online evaluation, red‑teaming, regression suites and human‑in‑the‑loop review flows.
• Collaborate with Retail Media and Insight teams to understand use cases and data, and translate requirements into concrete AI components and services.
• Write high‑quality, well‑tested code in Python (and, where relevant, TypeScript/Java or similar) following team standards for readability, performance and reliability.
• Participate in code reviews, design reviews and incident post‑mortems, and contribute to continuous improvement of our AI engineering practices.
• Stay current on advances in LLMs, agentic frameworks and cloud AI services, and bring forward ideas for how they can be applied to Tesco Media & Insight Platform.

What you’ll need to succeed in the role

• Strong experience in software/data/ML engineering, with hands‑on delivery of AI/ML or LLM‑based solutions into production (not just prototypes).
• Practical experience on GCP and Vertex AI, including deploying models, building pipelines, and implementing RAG/vector search‑based solutions.
• Solid understanding of LLMs and foundation models: transformers at a high level, tokenization, embeddings, context windows, RAG, and the trade‑offs between fine‑tuning, adapters and prompt‑based approaches.
• Hands‑on experience building agentic workflows or AI agents (e.g. tool‑augmented chat, multi‑step workflows, or multi‑agent systems) using one or more modern frameworks or platforms.
• Good grasp of security and safety for AI systems, including prompt and tool design to reduce hallucinations and prompt injection, safe handling of sensitive data, and application‑level guardrails.
• Experience with DevOps/MLOps practices: CI/CD, version control, automated testing, infrastructure as code, monitoring and incident handling in a cloud environment.
• Strong programming skills in Python and experience building and consuming APIs; familiarity with microservices and event‑driven architectures is a plus.
• Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, human‑in‑the‑loop review.
• Strong problem‑solving skills, attention to detail, and a willingness to take ownership of complex technical challenges.
• Clear, proactive communication and the ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact   

The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement. You would have excellent oral and written communication skills, be client obsessed, self-motivated and able to operate both as a team and independently with limited guidance and direction

The Manager / Senior Associate, Client Analytics is following the direction of Director of Analytics and is responsible for data manipulation and visualization, performing quantitative data analysis, problem solving, statistical modeling, and developing/analysing business cases.

WHAT YOU WILL DO   

• Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
• Use statistical modelling techniques (regression, classification) to extract business value from campaign data.
• Utilize programming languages (Python, R, SQL), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow, Datalab) to prototype and deliver data-driven solutions.
• Recommend and develop technical solutions with guidance from senior leadership.
• Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
• Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
• Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
• Collaborate with regional leadership on process development, improvement, and compliance.
• Support campaign measurement, determine incremental lift from marketing activities, and manage reporting and data needs (ingestion, cleaning, delivery).
• Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
• Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
• Ensure continuous collaboration and progression across bands, disciplines, and offices.

Skills and Experience  

• 3–6 years of relevant industry experience in analytics-focused roles.
• Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or related).
• Understanding of marketing campaigns, objectives, and measurement techniques; prior experience in digital agency or consulting preferred.
• Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools (especially advanced Excel/Google Sheets).
• Experience in owning and delivering analytics projects, including correlation, regression, significance testing, A/B tests, and supervised machine learning.
• Practical understanding of data science techniques, statistical analysis, and modelling.
• Passion for data analysis, troubleshooting data anomalies, integrating data from multiple sources to create repositories for data science models.
• Ability to transform raw data into actionable business insights for decision-making and strategic planning.
• Strong logical thinking, problem-solving, and stakeholder management skills.
• Excellent verbal and written communication skills.
• Adherence to quality standards and ability to plan and prioritize work.
• Experience using or building reports with business intelligence tools is a plus.
• Experience in applying big data, statistics, and analytical techniques to solve client problems is preferred.
• Business acumen to provide actionable strategic recommendations is preferred

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Location:  Gurgaon, India

About Us:

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

We are seeking a highly skilled and motivated Senior Data Engineer to join our global team. As a Senior Data Engineer, you will design, build, and maintain the systems and infrastructure that enable efficient data collection, processing, and analysis. Your work will empower the organization to make data-driven decisions and support advanced analytics and machine learning initiatives.

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines to extract, transform, and load (ETL/ELT) data from various sources.
• Integrate data from a variety of formats and sources, including APIs, cloud platforms, and on-premise databases.
• Optimize data workflows and processing for performance and reliability.
• Work closely with the AI  & data analytics teams to understand data requirements and deliver tailored solutions.
• Collaborate with other engineering teams to design and optimize data architectures, ensuring data availability and consistency across the organization.
• Ensure data quality, integrity, and compliance with organizational and regulatory standards.
• Develop and enforce data governance policies and procedures.
• Monitor and optimize the performance of data infrastructure and pipelines.
• Document data engineering processes, workflows, and infrastructure for transparency and maintainability.

Required Skills:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A Master’s degree is a plus.
• 5+ years of experience working as a data engineer or a similar role.
• Strong knowledge of data modeling and schema design.
• Proficient in SQL and some programming languages such as Python.
• Strong working knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery).
• Hands-on experience with ETL/ELT tools and workflows.
• Familiarity with cloud platforms (Google Cloud, AWS, Azure) and their data-related services.
• Knowledge of orchestration / data processing tools (Airflow, dbt).
• Ability to troubleshoot data-related issues and identify root causes.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
• Experience with big data tools and platforms (e.g.  Kafka, Spark) is a plus
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment with multiple stakeholders.

This position is required to be in the office 5 days a week.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.

Get to Know Our Team

The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.

Why Agoda Engineering Team (ML role)?

Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.

This role is based in Gurgaon, India. 

In this Role, you will get to:

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.
• Build, administer and scale ML processing pipelines.
• Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
• Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
• Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
• We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.

What You’ll need to Succeed:

• Bachelor’s degree in computer science /information systems/engineering/related field
• 8+ years of experience in software engineering with a minimum of 4+ years in ML
• Good experience in Pyspark
• Expert level understanding of Python with design patterns and object-oriented programming.
• Experience debugging and reasoning about production issues is desirable.
• A good understanding of data architecture principles preferred.
• Any other experience with Big Data technologies / tools
• SQL experience
• Analytical problem-solving capabilities & experience.
• Systems administration skills in Linux
• A strong engineering driven mindset will be required to succeed in this role.

It’s great if you have:

• Good understanding of Hadoop ecosystems
• Experience working with Open-source products
• Experience with Scala development
• Working in an agile environment using test driven methodologies

Benefits

• Hybrid Working Model
• WFH Set Up Allowance
• 30 Days of Remote Working from anywhere globally every year
• Employee discount for accommodation globally
• Global team of 90+ nationalities
• 40+ offices and 25+ countries
• Annual CSR / Volunteer Time off
• Benevity Subscription for employee donations
• Volunteering opportunities globally
• Free Headspace subscription
• Free Odilo & Udemy subscriptions
• Access to Employee Assistance Program (third party for personal and workplace support)
• Enhanced Parental Leave
• Life, TPD & Accident Insurance

#telaviv #jerusalem #LI-SK1 #IT #ENG #4 #LI-PS4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

Essential Criteria

• Proven experience (5+ years) as a Backend Software Developer, with a strong portfolio of projects involving data processing and API development.
• Proficiency in one or more backend programming languages (e.g., Python, Java, Go, Node.js). Python is highly preferred given its prevalence in data science and ML.
• Strong experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Cloud Functions, Cloud Run, App Engine, Pub/Sub, Cloud Storage, and BigQuery.
• Demonstrable experience in designing, building, and maintaining RESTful APIs and microservices.
• Solid understanding of database technologies, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Firestore), and experience with data modelling.
• Experience with data pipeline tools and concepts (e.g., Apache Beam/Dataflow, Airflow) for ETL/ELT processes.
• Familiarity with version control systems (e.g., Git) and agile development methodologies.
• Basic understanding of machine learning concepts and how to integrate ML models into backend systems.
• Basic understanding of the total marketing process and the strategic role of insights and media.
• An appreciation for how data insights are used in various media channels (e.g., paid search, programmatic display, social media, SEO) to inform strategy.
• Excellent problem-solving skills and attention to detail.
• Experience working with off-shore or distributed teams is highly desirable.
• Experience integrating data into Google BigQuery from various sources, including direct API connections and data integration platforms (e.g., Adverity).
• Experience with leveraging AI/ML capabilities within the GCP ecosystem, such as connecting to large language models (e.g., Google's Gemini API) or utilising platforms like Vertex AI to enrich and analyse data stored in BigQuery.

Preferred Criteria

• Experience with stream processing technologies (e.g., Kafka, Pub/Sub).
• Knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Experience with CI/CD pipelines.
• Familiarity with data security and privacy best practices.
• Experience in the media, advertising, or marketing technology (AdTech/MarTech) industry.
• Certifications in relevant cloud technologies.

Life at WPP Media & Benefits:

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day and more.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
 
 We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodation or flexibility, please discuss this with the hiring team during the interview process.

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria.  At WPP Media, we strongly encourage you to apply if you’re interested: we'd love to know how you can positively impact our team with your experience!

As an Equal Opportunities Employer, we believe that diversity is vital and positively influences the environment in which we operate. We are committed to fostering a diverse and inclusive work environment that is free of discrimination, harassment or bullying. Race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status or disability status have no bearing on our hiring decisions, and we encourage all applicants.

We view everyone as an individual and we understand that inclusion is more than just diversity – it’s about belonging. We celebrate the fact that everyone is unique and that’s what makes us so good at what we do. We pride ourselves on being a company that embraces difference and truly represents the global clients we work with.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Profile Summary: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge. 

Key Skills: (Sr Analyst) 

• Upto 3 yrs 

• Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation. 

• Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI. 

• Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models. 

• Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling. 

• Good communication skills, with the ability to articulate findings and support senior team members in presenting insights. 

Description: 

• Assist in the development and implementation of data science algorithms for various strategic initiatives  

• Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations. 

• Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making. 

• Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches. 

• Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact. 

• Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth. 

Education: 

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline. 

Ideal Certifications: 

• Python for Data Science (Coursera) 

• Google Cloud Machine Learning Engineer (Associate) 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

#LI-GOC

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Profile Summary: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge.

Key Skills: (Sr Analyst)

• Upto 3 yrs
• Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation.
• Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI.
• Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models.
• Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling.
• Good communication skills, with the ability to articulate findings and support senior team members in presenting insights.

Description:

• Assist in the development and implementation of data science algorithms for various strategic initiatives
• Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations.
• Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making.
• Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches.
• Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact.
• Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth.

Education:

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.

Ideal Certifications:

• Python for Data Science (Coursera)
• Google Cloud Machine Learning Engineer (Associate)

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

#LI-GOC

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Gurgaon, India.

About the role

As an AI Engineer at Fluxon, you’ll take the lead in designing, building and deploying AI-powered applications for our clients.

You'll be responsible for:

• System Architecture: Design and implement end-to-end AI systems and their parts, including data ingestion, preprocessing, model inference, and output structuring
• Generative AI Development: Build and optimize RAG (Retrieval-Augmented Generation) systems and Agentic workflows using frameworks like LangChain, LangGraph, ADK (Agent Development Kit), Genkit
• Production Engineering: Deploy models to production environments (AWS/GCP/Azure) using Docker and Kubernetes, ensuring high availability and scalability
• Evaluation & Monitoring: Implement feedback loops to evaluate model performance (accuracy, hallucinations, relevance) and set up monitoring for drift in production
• Collaboration: Work closely with other engineers to integrate AI endpoints into the core product and with product managers to define AI capabilities
• Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) for specific domain tasks and optimize them for latency and cost

You'll work with technologies including:

Languages

• Python (Preferred)
• Java / C++ / Scala / R / JavaScript   

AI / ML

• LangChain
• LangGraph
• Google ADK
• Genkit
• OpenAI API
• LLM - Large Language Model
• Vertex AI

Cloud & Infrastructure

• Platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS)
• Storage: Google Cloud Storage (GCS) or AWS S3
• Orchestration: Temporal, Kubernetes

Data Stores

• PostgreSQL
• Firestore
• MongoDB

Monitoring & Observability

• GCP Cloud Monitoring Suite

Qualifications

• 5+ years of industry experience in software engineering roles
• Strong proficiency in Python or any preferred AI programming language such as Scala, Javascript and Java
• Strong understanding of Transformer architectures, embeddings, and vector similarity search
• Experience integrating with LLM provider APIs (OpenAI, Anthropic, Google Vertex AI)
• Hands-on experience with agent workflows like LangChain, LangGraph
• Experience with Vector Databases and traditional SQL / NoSQL databases
• Familiarity with cloud platforms, preferably GCP or AWS
• Understanding of patterns like RAG (Retrieval-Augmented Generation), few-shot prompting, and Fine-Tuning
• Solid understanding of software development practices including version control (Git) and CI/CD

Nice to have:

• Experience with Google Cloud Platform (GCP) services, specifically Vertex AI, Firestore, and Cloud Functions
• Knowledge of prompt engineering techniques (Chain-of-Thought, ReAct, Tree of Thoughts)
• Experience building "Agentic" workflows where AI can execute tools or API calls autonomously

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Gurgaon, India.

About the role

As a Staff Software Engineer at Fluxon, you'll drive the end-to-end delivery of products to market while learning, contributing, and growing in partnership with our leadership team

You'll be responsible for:

• Guiding project delivery all the way to the user, leading projects, building and iterating in a dynamic environment
• Partnering directly with clients to understand their needs, and achieve business goals
• Defining product requirements, identifying appropriate system designs and planning development in partnership with our Product and Design teams
• Supporting development of a healthy and effective engineering culture

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 7+ years of industry experience in software development
• Experience leading development through the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in the design and implementation of scalable system architectures, data structures and algorithms, and effective development practices

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health 
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Gurgaon, India.

About the role

As a Senior Software Engineer at Fluxon, you'll have the opportunity to bring products to market while learning, contributing, and growing with our team.

You'll be responsible for:

• Driving end-to-end implementations all the way to the user, collaborating with your team to build and iterate in a dynamic environment
• Engaging directly with clients to understand business goals, give demos, and debug production issues
• Informing product requirements, identifying appropriate technical designs in partnership with our Product and Design teams
• Proactively communicating progress and challenges in your work and seeking help when you need it
• Performing code reviews and cross-feature validations
• Providing mentorship in your areas of expertise

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 5+ years of industry experience in software development
• Experienced with the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in software design patterns, scalable system architectures, tooling, fundamentals of data structures and algorithms

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective