Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we’re building a world-class team to help us scale this mission and Clinical Intelligence and AI Evaluation is at the heart of everything we do. This job requires daily onsite work at our headquarters in Hyderabad, India.

Who We Need

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

This Opportunity

This Clinical Data Analyst position is a high impact, intellectually challenging role that requires a diverse set of analytical and technical skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-word Electronic Health Record (EHR) data and clinical notes data and become a nexus of healthcare and technology. You will be solving meaningful and consequential problems in healthcare using an EHR and clinical notes database of 120 million US patients (and growing!) and help drive insights that can ultimately improve and impact on patient care. This position will report to our Director of Clinical Intelligence and AI Evaluation team and support end-to-end evaluation, extraction, execution and delivery of custom concepts from clinical notes and EHR data to help our customers dive deeply into complex research questions related to human health and generate data-driven insights that support impactful scientific decisions.

Responsibilities

· Use technical skills to scope out clinical informatics data analyses requests from both internal and external customers, produce studies and results within an agreed deadline.

· Communicate on the status of various projects and collaborate with multidisciplinary stakeholders to ensure that clinical data projects are successfully executed and delivered.

· Excel in providing technical analytics support as well as directly working with internal stakeholders to troubleshoot any data analyses. Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on real-world data to address their empirical questions.

· Write Databricks SQL queries to extract, analyze and interpret clinical concepts from clinical notes per customer requests.

· Create dashboards, data visualizations, and data tools to support data-driven decision making.

· Create enablement materials and studies as the Truveta platform evolves to help new researchers to increase our capabilities.

· Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current internal and external customers.

· Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.

Required Skills

· Graduate or Masters level educational degree in clinical research, data analysis, data science, clinical informatics, health information management or related fields.

· 3+ years of demonstrated experience conducting analyses using large healthcare datasets (e.g., electronic health records, clinical notes or other real-world data sources consisting of millions of patients' data.).

· 3+ years of demonstrated experience working with customers or research teams to translate their asks into executable analytical code, rigorous quality analytical datasets, deliver high quality research analyses.

· Strong proficiency in SQL, at least one statistical programming language (R or Python), familiar with Spark bigdata analytics environments, for data wrangling, analysis, and reproducible research workflows.

· Strong hands-on problem-solving skills, troubleshoot and identify data or methodological issues early and communicate them effectively. Have ownership, accountability and reliability mindset.

· Excellent written and verbal communication skills, including the ability to clearly explain analytical approaches and findings to technical and non-technical stakeholders.

· Ability to learn and adapt quickly in a dynamic start-up environment and a good team-player.

· Willingness to learn new analytical tools, programming languages, and proprietary platforms used to analyze real-world data.

Preferred Qualifications

These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.

· Spark/PySpark, Databricks experience

· Experience working with unstructured clinical data or natural language processing outputs

· Regex query writing experience

· Experience building cohort definitions or eligibility criteria for research studies

Why Truveta? 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. We are expanding our global footprint. Join us as we build an amazing company together.

We Offer:

· Interesting and meaningful work for every career stage

· Great benefits package

· Comprehensive benefits with strong medical, dental and vision insurance plans

· Professional development & training opportunities for continuous learning

· Work/life autonomy via flexible work hours and flexible paid time off

· Generous parental leave

· Regular team activities (virtual and in-person as soon as we are able)

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude people from some sections, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements

Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.  

Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. 

Role Overview

We are hiring a Prompt Engineer with a strong clinical informatics background to build and optimize AI prompts for healthcare and clinical data applications. This role requires hands-on clinical understanding, experience working with real clinical data, experience writing prompts for AI models, and the ability to align LLM prompts with underlying clinical data models.

You will work closely with clinicians, data engineers, and AI teams to translate clinical questions and workflows into accurate, safe, and scalable AI interactions.

Key Responsibilities

• Design, test, and optimize prompts for LLM-based clinical use cases such as:
• Cohort identification
• Clinical question answering
• Concept extraction
• Clinical code mapping
• Translate clinical requirements into structured prompts aligned with clinical data schemas
• Collaborate with data engineers to understand how diagnoses, labs, medications, encounters, and outcomes are modeled
• Evaluate AI outputs for clinical accuracy, relevance, bias, and safety
• Apply healthcare data standards (FHIR, SNOMED CT, LOINC, RxNorm, ICD-10-CM) within prompt logic and validation
• Create prompt evaluation criteria and quality benchmarks
• Document reusable prompt patterns and best practices
• Continuously improve prompts based on model behavior and user feedback.

Required Qualifications

• 2–5 years of experience in clinical informatics, healthcare analytics, or health IT
• Clinical background required, such as:
• Nursing, pharmacy, medicine, public health, or clinical informatics
• OR hands-on experience working with clinical workflows or EHR data
• Strong understanding of clinical data modeling, including representation of:
• Diagnoses, procedures, medications
• Laboratory results and vitals
• Encounters and outcomes
• Practical experience with healthcare data standards:
• FHIR
• SNOMED CT
• LOINC
• RxNorm
• ICD-10-CM
• Hands-on experience with LLMs and prompt engineering for applied or production use cases
• Ability to critically evaluate AI outputs for correctness and clinical safety
• Strong analytical, documentation, and communication skills

Preferred

• Experience with clinical NLP or unstructured clinical text
• Familiarity with EHR systems or clinical data repositories
• Working knowledge of Python for prompt testing or evaluation
• Working knowledge of SQL for exploring clinical datasets
• Experience combining structured and unstructured healthcare data
• Prior work on healthcare AI, decision support, or analytics platforms

Opportunity Overview

As the Manager, Machine Learning & Data Science, you will play a key role in building and scaling Cohere Health’s AI capabilities in India. You’ll lead a team of machine learning engineers and data scientists focused on developing and deploying models that automate and augment complex clinical and administrative workflows.

This team is responsible for the full lifecycle of applied machine learning and data science—from problem framing and experimentation to production model deployment and ongoing optimization. You’ll work with structured and unstructured healthcare data to generate insights and power intelligent systems that improve prior authorization and broader clinical decision-making.

As a player-coach, you’ll combine hands-on technical contributions with team leadership, helping to establish best practices, mentor team members, and drive high-impact solutions in close partnership with Product, Engineering, Clinical, and Analytics stakeholders. This is an opportunity to shape both the technical direction and team culture within a growing global organization.

What you’ll do:

• Lead, mentor, and develop a team of machine learning engineers and data scientists, fostering a collaborative, high-performance environment
• Act as a hands-on contributor across the ML/DS lifecycle, including data exploration, feature engineering, model development, evaluation, and deployment
• Design, develop, and deploy machine learning models for retrieval, classification, and generative use cases across structured and unstructured data
• Translate complex business and clinical problems into scalable machine learning and data science solutions
• Establish and uphold best practices for experimentation, model validation, performance tracking, and reproducibility
• Partner cross-functionally with Product, Engineering, Clinical, and Analytics teams to align solutions with business priorities
• Guide the development of scalable data science and machine learning systems, including data preprocessing pipelines and production workflows
• Monitor model performance, identify opportunities for improvement, and drive continuous iteration and optimization
• Communicate technical concepts, methodologies, and insights clearly to both technical and non-technical stakeholders
• Contribute to hiring and scaling the team in India, including recruiting, onboarding, and coaching team members 

What you’ll need:

Must-haves

• Minimum 8+ years of experience in machine learning, data science, or applied AI roles, of those a minimum 2+ years of experience must be leading technical teams
• Strong hands-on experience building, evaluating, and deploying machine learning models in production
• Solid foundation in statistical methods, experimental design, and model evaluation
• Proficiency in Python and experience with ML frameworks (e.g., PyTorch, scikit-learn)
• Experience working with large, complex datasets (structured and/or unstructured)
• Strong problem-solving skills with the ability to translate business challenges into analytical solutions
• Excellent communication skills, with the ability to present complex concepts clearly to diverse stakeholders
• Experience working in fast-paced, evolving environments

Nice-to-haves

• Experience in healthcare, particularly with payer, provider, or clinical data
• Experience with NLP, deep learning (e.g., transformers), or generative AI (e.g., RAG)
• Familiarity with MLOps practices and production ML systems
• Experience with Spark or large-scale data processing frameworks
• Exposure to cloud platforms (e.g., AWS, SageMaker)
• Experience working in a global or distributed team environment
• Prior experience in a GCC or building teams in India

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

 Senior Commercial Product Manager - Credit 

The Senior Commercial Product Manager for Credit owns the commercial lifecycle of Billtrust’s credit product portfolio, spanning AI-powered risk assessment, customer credit scoring, and intelligent credit decisioning solutions. This role drives products from ideation through adoption collaborating with internal stakeholders, engineering teams, and directly with customers to define requirements, prioritize the roadmap, and deliver successful go-to-market outcomes. 
 
The ideal candidate is a proactive, natural problem solver who bridges complex technical capabilities and real customer value — and who actively uses AI tools as part of how they work. We’re looking for someone who doesn’t just understand AI as a product category, but who applies it personally: to research, synthesize information, build artifacts, and think through problems faster. This person communicates with clarity and confidence across all settings, from executive 
presentations to customer webinars. 

What You'll Do 

• Own the Credit product portfolio end-to-end — serve as the subject matter expert and primary liaison across revenue, engineering, and customer-facing teams; maintain a prioritized backlog with each sprint aligned to business and customer outcomes 

• Proactively surface gaps and opportunities in the credit workflow before problems escalate, and evaluate incoming feature requests based on market demand, ROI, and customer impact— without needing to be directed 

• Lead external customer presentations, product webinars, and in-person meetings to clearly articulate capabilities, roadmap direction, and ROI; deliver equally compelling internal presentations to senior leadership on product performance, strategic tradeoffs, and investment priorities 

• Own the Credit product scorecard and annual planning baseline — track KPIs including decisioning accuracy, automation rates, and customer health; define tradeoffs and present clear investment options to leadership 

• Build strong client relationships to co-develop capabilities and validate product decisions; partner with Sales and Customer Success on value narratives and enablement content that drive adoption of Credit AI features 

• Collaborate with engineering leads to define requirements, design functionality, and drive 
  delivery from analysis through implementation across a high volume of concurrent initiatives 

• Help shape where and how AI capabilities get embedded into the Credit product — identifying high-value opportunities for intelligent automation, rise decisioning enhancements, and AI-assisted workflows within the product experience 

• Use AI tools as a core part of how you work — synthesizing market signals, accelerating competitive research, drafting PRDs and briefs, and prototyping concepts faster than traditional methods 

• Mentor other product managers and actively share effective AI practices that raise team output quality and speed 

Experience & Technical Background:  

• 10+ years of product management experience; bachelor’s degree in Computer Science, MIS, Business, or equivalent 

• Domain experience in financial technology, credit decisioning, accounts receivable, or payments — with strong attention to detail 

• Exceptional communication skills — written and verbal — with a proven ability to present confidently to C-suite stakeholders, customers, and prospects; demonstrated experience with external presentations, webinars, and user forums 

• Proactive self-starter: you identify issues before they surface, take ownership without being directed, and drive ambiguous situations toward clarity 

• Demonstrated, hands-on use of AI tools (LLM assistants, AI research and writing tools, prompt engineering) as part of your daily work — not just awareness, but active practice 

• Strong command of Agile methodology, backlog management, and cross-functional collaboration in a fast-paced, product-centric environment 

• Proven GTM and business acumen: experience with launch planning, data-driven solutioning, TAM/ICP analysis, and understanding cost and revenue drivers of software products 

• Experience in SaaS, credit management, or AR automation, with the ability to maintain current 
  delivery commitments while planning for future strategy 

Responsibilities

We are looking for an experienced and exceptional AI / Machine Learning Engineer to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. 

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on LLMs, AI Agents, and retrieval-augmented generation (RAG) architectures.

• Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale.

• Build conversational AI interfaces that handle multi-turn customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.

• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, and conversation outcomes to improve model performance over time.

• Create analytics dashboards and reporting tools to track automation effectiveness, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores.

• Lead technical initiatives for AI system integration into existing products and services.

• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.

• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).

• Demonstrated experience building production conversational AI systems including chatbots, virtual assistants, and automated support agents using LLMs (OpenAI, Anthropic, open-source models).

• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, and conversation flow management.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.

• Strong background in customer support metrics and KPIs including CSAT, first contact resolution, average handle time, and containment rate optimization.

• Experience with sentiment analysis and emotion detection for escalation triggers and customer satisfaction monitoring.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Proficiency with contact center platforms (Zendesk, Salesforce Service Cloud, Genesys, or similar) and their API integrations.

• Experience implementing real-time agent assist systems that provide suggestions, knowledge articles, and response templates during live interactions.

• Familiarity with compliance and security requirements for handling sensitive customer data in automated systems (PCI, HIPAA, GDPR).

• Experience with A/B testing and experimentation frameworks for optimizing conversation flows and response strategies.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2675)

Responsibilities

We are looking for an experienced and exceptional Senior AI Engineer (Voice AI) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.

• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.

• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.

• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.

• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.

• Lead technical initiatives for AI system integration into existing products and services.

• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.

• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).

• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).

• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).

• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.

• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.

• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.

• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.

• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus

• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with a strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2676)

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

• Lead and mentor a team of data scientists focused on developing and deploying ML solutions including GNNs, LLM-based applications, and fraud detection models.
• Define and drive the roadmap for AI/ML initiatives across Crunchyroll’s product and platform ecosystem.
• Guide the development of robust ML pipelines and infrastructure, working closely with data engineering, software engineering, and DevOps teams.
• Establish best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.
• Work with stakeholders across business, marketing, security, and content teams to identify AI opportunities and translate them into actionable projects.
• Ensure responsible AI/ML development by emphasizing model interpretability, performance, and fairness.
• Own operational metrics around model impact, latency, cost, and system scalability.
• Foster a strong team culture centered on innovation, curiosity, collaboration, and continuous learning.

About You

We get excited about candidates, like you, because...

• Bachelor's or Master's in Computer Science, Statistics, Data Science, or a related quantitative field.
• 8+ years of industry experience in data science or applied ML, with 4+ years of people leadership experience.
• Proven track record of delivering production ML systems that solve real-world business problems.
• Deep knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.
• Experience building systems leveraging Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).
• Strong technical leadership, with the ability to direct teams to develop optimal ML solutions and guide research-to-production lifecycle.
• Excellent communication and stakeholder management skills; able to translate between business and technical worlds.
• A passion for building high-performing teams, mentoring others, and fostering a learning-first environment.

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications..

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining.
• Establish and implement robust frameworks to train, evaluate, stress-test, and monitor ML/AI systems, driving continuous improvement and preventing model drift.
• Address and navigate real-world scale and performance challenges, ensuring all ML/AI models and systems are efficient, robust, and maintain target quality/latency under production constraints.
• Set technical direction as a senior Individual Contributor (IC) and mentor junior engineers.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  5-8 years of  work experience.
• A proven track record of architecting and deploying practical, high-impact ML/AI systems over multiple years, translating complex models into robust, real-world solutions.
• Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML/AI systems to life.
• Expert proficiency in Python and strong software engineering skills, including the ability to write reliable, production-grade code. In-depth experience with major ML/Deep Learning frameworks: PyTorch, TensorFlow, scikit-learn.
• Familiarity with modern AI/ML stacks like Hugging Face and LangChain.
• Deep expertise in a wide range of standard ML algorithms, including classification, clustering, regression, and deep learning models. 
• Hands-on experience with the LLM/RAG stack components: embeddings, knowledge graphs, vector databases, retrieval strategies, and prompt engineering. 
• Proven ability to measure and optimize model efficacy using statistical methods.
• Hands-on experience with production ML infrastructure, including feature stores, model management, training/serving pipelines (MLOps), and monitoring tools. 
• Up-to-date with new advances in NLP, LLMs and agent-frameworks.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with implementing secure, scalable API services.

Bonus Points:

• Practical experience applying advanced techniques to enhance model efficiency, including model distillation (creating smaller, faster student models) and model quantization (reducing memory footprint and latency).
• Experience with efficient Large Language Model (LLM) fine-tuning methods like LoRA and other PEFT techniques.
• Experience working with coding agents (Cursor, Copilot, Claude Code etc..)
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Professional programming experience with Scala and Golang
• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications..

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining.
• Establish and implement robust frameworks to train, evaluate, stress-test, and monitor ML/AI systems, driving continuous improvement and preventing model drift.
• Address and navigate real-world scale and performance challenges, ensuring all ML/AI models and systems are efficient, robust, and maintain target quality/latency under production constraints.
• Set technical direction as a senior Individual Contributor (IC) and mentor junior engineers.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  5-8 years of  work experience.
• A proven track record of architecting and deploying practical, high-impact ML/AI systems over multiple years, translating complex models into robust, real-world solutions.
• Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML/AI systems to life.
• Expert proficiency in Python and strong software engineering skills, including the ability to write reliable, production-grade code. In-depth experience with major ML/Deep Learning frameworks: PyTorch, TensorFlow, scikit-learn.
• Familiarity with modern AI/ML stacks like Hugging Face and LangChain.
• Deep expertise in a wide range of standard ML algorithms, including classification, clustering, regression, and deep learning models. 
• Hands-on experience with the LLM/RAG stack components: embeddings, knowledge graphs, vector databases, retrieval strategies, and prompt engineering. 
• Proven ability to measure and optimize model efficacy using statistical methods.
• Hands-on experience with production ML infrastructure, including feature stores, model management, training/serving pipelines (MLOps), and monitoring tools. 
• Up-to-date with new advances in NLP, LLMs and agent-frameworks.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with implementing secure, scalable API services.

Bonus Points:

• Practical experience applying advanced techniques to enhance model efficiency, including model distillation (creating smaller, faster student models) and model quantization (reducing memory footprint and latency).
• Experience with efficient Large Language Model (LLM) fine-tuning methods like LoRA and other PEFT techniques.
• Experience working with coding agents (Cursor, Copilot, Claude Code etc..)
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Professional programming experience with Scala and Golang
• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications. We build services in Ruby & Scala, are hosted on AWS and firmly believe in using the cloud to our advantage.

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Implement large scale, low latency microservices, including discovering and solving complex issues at scale.
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• Help troubleshoot, analyze and root cause issues in the platform.
• You will work on microservices built with Golang, Scala, Java and Ruby, hosted in AWS.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  3-5 years of  work experience.
• Professional programming experience with Golang, Python, Scala, Java and/or Ruby+Rails.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Experience with implementing secure, scalable API services
• Experience with transactional databases and data modeling (Postgres, MySQL, DynamoDB or equivalent)
• Cloud development experience (especially AWS).
• A pragmatic and curious problem-solver. You thrive on breaking down complex challenges, asking insightful questions to understand the "why," and delivering effective, practical solutions.
• A high-ownership collaborator with keen attention to detail. You take full accountability for your work, communicate clearly with your team, and are obsessed with shipping high-quality, well-crafted code.

Bonus Points:

• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).
• Experience with functional programming in TypeLevel Scala (cats-effect, ZIO, FS2, etc).
• Experience with ML/LLMs (prompt engineering, RAG, classification, NLP, fine tuning etc) is a huge plus.
• Experience with AI development tools like Cursor, Claude Code, Github Copilot, etc.

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications. We build services in Ruby & Scala, are hosted on AWS and firmly believe in using the cloud to our advantage.

What you’ll do:

• You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers.
• Implement large scale, low latency microservices, including discovering and solving complex issues at scale.
• We believe in, and practice, end to end service ownership, so you will fully participate in the ownership of your services and components, including on-call duties.
• Quality is the forefront of all we do, so you will assist with improving all forms of automated testing (unit, integration, functional etc).
• Help troubleshoot, analyze and root cause issues in the platform.
• You will work on microservices built with Golang, Scala, Java and Ruby, hosted in AWS.

What we’re looking for: 

• BS/MS in Computer Science or related field/degree with at least  3-5 years of  work experience.
• Professional programming experience with Golang, Python, Scala, Java and/or Ruby+Rails.
• Strong grasp of software engineering fundamentals and algorithms.
• Experience with event streaming frameworks, technologies, patterns and architectures (particularly Kafka or similar)
• Experience with implementing secure, scalable API services
• Experience with transactional databases and data modeling (Postgres, MySQL, DynamoDB or equivalent)
• Cloud development experience (especially AWS).
• A pragmatic and curious problem-solver. You thrive on breaking down complex challenges, asking insightful questions to understand the "why," and delivering effective, practical solutions.
• A high-ownership collaborator with keen attention to detail. You take full accountability for your work, communicate clearly with your team, and are obsessed with shipping high-quality, well-crafted code.

Bonus Points:

• Experience with serverless architectures on AWS, GCP.
• Experience with Kubernetes, container technology (Docker, ECS, EKS).
• Experience with functional programming in TypeLevel Scala (cats-effect, ZIO, FS2, etc).
• Experience with ML/LLMs (prompt engineering, RAG, classification, NLP, fine tuning etc) is a huge plus.
• Experience with AI development tools like Cursor, Claude Code, Github Copilot, etc.

Senior Data Scientist

What You Can Expect from Us:

Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!

Position Overview: 

We are looking for an experienced Data Scientist with a strong academic background in Data Science and 8+ years of hands-on experience in Data science projects. The ideal candidate should be skilled in developing predictive models, performing data analysis, and applying advanced machine learning and AI techniques to solve complex business problems.

Roles and Responsibilities:

• Analyze large datasets to extract meaningful insights and patterns.
• Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics
• Collaborate with engineering, product, and business teams to define and deliver data-driven solutions.
• Design and build data pipelines and perform data wrangling using Python, R, or SQL.
• Communicate analytical findings through clear data visualizations and storytelling techniques.
• Evaluate model performance and improve accuracy and efficiency.
• Work with cloud platforms (AWS, Azure, or GCP) to deploy and maintain ML/AI models in production.
• Ensure data quality, governance, and compliance with organizational standards.
  
  

Must Have Skill

• 8+ years of relevant experience in Data Science Machine Learning / AI projects.
• Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
• Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).
• Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform.
• Excellent analytical, problem-solving, and communication skills.
  
  

Good To Have:

• Experience with Deep Learning, NLP, or Time Series Analysis.
• Exposure to MLOps and CI/CD pipelines for model deployment.
• Certifications or project portfolios in Data Science or Machine Learning
• Experience in prompt engineering, context / RAG engineering, Agentic AI.
  
  

Qualification:

• Bachelor’s or Master’s or PhD degree in Data Science, or a related discipline.

Location:   Pune / Hyderabad 

Lead Data Scientist

What You Can Expect from Us:

Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!

Position Overview: 

We are looking for an experienced Data Scientist with a strong academic background in Data Science and 10+ years of hands-on experience in Data science projects. The ideal candidate should be skilled in developing predictive models, performing data analysis, and applying advanced machine learning and AI techniques to solve complex business problems.

Roles and Responsibilities:

• Analyze large datasets to extract meaningful insights and patterns.
• Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics
• Collaborate with engineering, product, and business teams to define and deliver data-driven solutions.
• Design and build data pipelines and perform data wrangling using Python, R, or SQL.
• Communicate analytical findings through clear data visualizations and storytelling techniques.
• Evaluate model performance and improve accuracy and efficiency.
• Work with cloud platforms (AWS, Azure, or GCP) to deploy and maintain ML/AI models in production.
• Ensure data quality, governance, and compliance with organizational standards.
  
  

Must Have Skill

• 10+ years of relevant experience in Data Science Machine Learning / AI projects.
• Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.

• Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
• Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).
• Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform.
• Excellent analytical, problem-solving, and communication skills.
  
  

Good To Have:

• Experience with Deep Learning, NLP, or Time Series Analysis.
• Exposure to MLOps and CI/CD pipelines for model deployment.
• Certifications or project portfolios in Data Science or Machine Learning
• Experience in prompt engineering, context / RAG engineering, Agentic AI.
  
  

Qualification:

• Bachelor’s or Master’s or PhD degree in Data Science, or a related discipline.

Location:   Hyderabad 

Senior Data Scientist

What You Can Expect from Us:

Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!

Position Overview: 

We are looking for an experienced Data Scientist with a strong academic background in Data Science and 8+ years of hands-on experience in Data science projects. The ideal candidate should be skilled in developing predictive models, performing data analysis, and applying advanced machine learning and AI techniques to solve complex business problems.

Roles and Responsibilities:

• Analyze large datasets to extract meaningful insights and patterns.
• Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics
• Collaborate with engineering, product, and business teams to define and deliver data-driven solutions.
• Design and build data pipelines and perform data wrangling using Python, R, or SQL.
• Communicate analytical findings through clear data visualizations and storytelling techniques.
• Evaluate model performance and improve accuracy and efficiency.
• Work with cloud platforms (AWS, Azure, or GCP) to deploy and maintain ML/AI models in production.
• Ensure data quality, governance, and compliance with organizational standards.
  
  

Must Have Skill

• 8+ years of relevant experience in Data Science Machine Learning / AI projects.
• Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
• Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).
• Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform.
• Excellent analytical, problem-solving, and communication skills.
  
  

Good To Have:

• Experience with Deep Learning, NLP, or Time Series Analysis.
• Exposure to MLOps and CI/CD pipelines for model deployment.
• Certifications or project portfolios in Data Science or Machine Learning
• Experience in prompt engineering, context / RAG engineering, Agentic AI.
  
  

Qualification:

• Bachelor’s or Master’s or PhD degree in Data Science, or a related discipline.

Location:   Pune / Hyderabad