BOLD is seeking a senior professional to implement and run Testing and Quality Assurance specifically designed for AI-driven products and Data Science workflows. In this role, you will bridge the gap between traditional software testing and modern machine learning evaluation. You have a great team management and organizational skills. You’ll have a broad mastery of capabilities, techniques, technologies and tools in the Testing and QA domains. You’ll be handling QA teams of various sizes and expertise.

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them up to to date with technology.

WHAT YOU’LL DO 

• Develop and own the QA strategy for AI-driven features, focusing on model accuracy, data drift, and performance metrics (Precision, Recall, F1-score).
• Implement state-of-the-art AI tools (e.g., GitHub Copilot, or custom LLM agents) to automate test case generation, code analysis, and synthetic data creation.
• Oversee the testing of Generative AI outputs, implementing "LLM-as-a-judge" frameworks to evaluate hallucination rates, toxicity, and prompt adherence.
• Develop and own BOLD’s quality framework from product development through to production
• Should be able to drive the initiatives (both Business and QA) in his area along with needed smooth coordination across the board to ensure a timely achievement of goal.
• Take part in Requirement Analysis, Sprint planning, Bug triage meetings.
• Liaise with product, development, and infrastructure teams to collaborate on delivery of high quality, high performance, and high availability applications
• Develop quality scripts with needed coverage to ensure defect free releases.
• Manage and mentor team members to maximize output and efficiency and promote a team culture of quality and fun
• Motivate, Encourage, Guide Teams maintaining equilibrium and satisfaction level.
• Give technical/logical solutions to problems faced by the teams and remove hurdles blocking releases.
• Evaluate and suggest new tools and technologies

WHAT YOU’LL NEED

• Solid understanding of the Machine Learning lifecycle (EDA, Training, Evaluation, Deployment).
• Experience using LLMs (GPT, Claude, Llama) and AI-coding assistants to accelerate the testing lifecycle.
• Experience in a high volume, high throughput web/ecommerce environment.
• Hands-on experience with UI/API automation (Selenium, Playwright, or Cypress) integrated with AI-driven healing capabilities.
• Experience with web service technology like XML, REST, SOAP
• Knowledge on any of the query language like SQL, JQL etc.
• Experience in testing complex web and mobile apps.
• Strong application architecture and technical knowledge
• Strong knowledge of web concepts, including web performance infrastructure.
• Able to play the role of a scrum master, with strong coordination skills
• Knowhow of basic UX standards, SEO/ SEM concepts and key tracking matrices
• Strong communication skills 

EXPERIENCE- 

• Module Lead, QA (AI/ML & Automation)- 5 years+

BOLD is seeking a Technical Lead Specialist who can understand functional, technical & architectural views and has the ability to translate them into a low-level technical design for the developers. The successful candidate will be expected to work with the Engineering Manager and to interact with the technical architect of the program to achieve these goals. In addition, your role will be to mentor developers and contribute towards best practices and standards. 

Our SDETs work with Product Managers and Dev Teams to understand features and technical implementation and ensure our sites, products, and platforms perform to industry-beating quality. 

ABOUT THIS TEAM

BOLD Platform services team design, creates, manage and maintains the highly scalable and distributed services for the wider use of web and mobile product applications/portals/websites. The current list of services is based on Microservices architecture whose domain ranges from visitor tracking, User profiles, authentication, content and payments.

Platform team uses state of the art modern technologies like .Net framework, Python, Java, SQL Server, My SQL, Graph DB, SOLR, and a lot of other tools & technologies serving millions of users with hundreds of million transactions everyday through a scalable and fault tolerant architecture.

WHAT YOU’LL DO

• Excellent Object-Oriented coding practices, Refactoring, Clean Code, merging, etc. 
• Follow and recommend design principles and best practices for QA automation. 
• Able to develop and maintain test automation framework as per project requirements. 
• Understand automation test plans, product architecture, and domain in detail. 
• Solution-providing approach for technical queries and help/mentor test automation team. 
• Should be able to develop components that are extensible to test tools. 
• Hands-on experience in PoC solutions for automation and can demonstrate. 
• Excellent communication skills and ability to work independently with multiple tasks. 
• Test cutting-edge applications and products at the user level and code level 
• Be able to understand the software internals, debug issues, and write automated tests with scripting and automation tools 
• Assist in implementing and maintaining a Continuous Integration Solution 
• Contribute and/or own the development of high-quality test automation 
• Create and enhance backend automation tests and test tools 
• Ability to extend API automation framework to the next level 
• Work efficiently in a multi-project agile environment 
• Have to involve in performance, security, and scalability testing efforts 
• Write specialized testing tools for use in testing our software platform 
• Participate in test design and code reviews 
• Excellent debugging skills, measures, and analyses code for quality. 

 WHAT YOU’LL NEED

• At least 2 years of experience with search platforms such as Solr and modern search architectures. 
• Working knowledge of vector databases and semantic search solutions (e.g., Azure AI Search, Pinecone, or equivalent tools). 
• Strong understanding of Large Language Models (LLMs) and their application in search, relevance, and matching use cases. 
• Familiarity with ranking and re-ranking concepts and algorithms, and how they impact search quality and relevance 
• Have 5-7 years of experience in API Test Automation using Karate, Rest Assured, Cucumber, Java, BDD, or any other tool. 
• Strong knowledge of scripting languages like Core Java, C#, Python, etc.  
• Experience with source code controls like SVN, GIT, or CVS. 
• Exposure to Test and Defect Management Tools like JIRA, Trail, Zephyr, etc. 
• Experience with one or more database technology (SQL, NoSQL, Mongo, Solr) 

EXPERIENCE:  

• Lead SDET- 7 years+

#LI-SV1

BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. 
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 

WHAT YOU’LL NEED 

• Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods 
• Expert knowledge in Python.  
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Should have done one or more projects involving fine-tuning with LLMs 
• Experience in feature selection, building and optimising classifiers. 
• Experience working with backend technologies such as Flask/ Gunicorn etc. 
• Experience on working with open source library such Spacy,NLTK,Gensim etc  
• Experience on working with deep-learning library such as Tensor flow, Pytorch etc  
• Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. 
• Be a keen learner and enthusiastic about developing software.    

EXPERIENCE- 

• Software Engineer- 2.5 years+
• Senior Software Engineer-4.5 years+

#LI-SV1

We are looking for an experienced Database Architect to design and govern scalable, secure, and high-performing database solutions across enterprise applications. The ideal candidate should have strong expertise in database architecture, data modeling, performance tuning, cloud databases, security, and DevOps-enabled database deployments.

This role will work closely with application teams, DevOps, infrastructure, and business stakeholders to define the right database strategies and ensure robust, future-ready solutions.

Key Responsibilities

• Design logical, physical, and conceptual data models
• Define database architecture standards, schema design, naming conventions, and best practices
• Design scalable, multi-tenant, and high-availability database solutions
• Evaluate and recommend the right database technologies such as SQL Server, Azure SQL, PostgreSQL, DB2, and NoSQL platforms
• Optimize database performance through indexing, query tuning, partitioning, and execution plan analysis
• Design and implement security controls including access management, encryption, masking, and auditing
• Ensure compliance with standards such as GDPR, SOX, HIPAA, PCI, where applicable
• Define backup, restore, disaster recovery, and data integrity strategies
• Support CI/CD and automated database deployments using DevOps practices
• Collaborate with development and architecture teams to review and approve database designs
• Create ER diagrams, architecture documents, and runbooks
• Mentor developers / DBAs on database best practices

Required Skills

• Strong experience in SQL Server / Azure SQL Database
• Good experience in PostgreSQL and DB2
• Strong knowledge of data modeling, normalization, and database design
• Expertise in SQL performance tuning, indexing, query optimization, and execution plans
• Experience with cloud database architectures, preferably on Azure
• Understanding of high availability, failover, backup, and disaster recovery
• Knowledge of database security, access control, and compliance-driven design
• Experience with Git, CI/CD, Terraform / Bicep / ARM, Azure DevOps or GitHub Actions
• Good understanding of microservices, distributed systems, and integration-heavy applications
• Strong documentation, communication, and stakeholder management skills

Preferred

• Experience with NoSQL databases such as Cosmos DB / MongoDB / DynamoDB
• Exposure to regulated industries like Banking, Insurance, Healthcare, etc.
• Strong architectural thinking with ability to balance scalability, security, and business needs

Soft Skills

• Strong analytical and problem-solving ability
• Excellent communication and collaboration skills
• Ability to influence and challenge design decisions constructively
• Mentorship and leadership mindset

THIS IS 5 DAYS WORK FROM OFFICE OPPORTUNITY

WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.

WHAT YOU'LL DO

1. Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
2. Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
3. Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
4. Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
5. Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
6. Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.

WHAT YOU'LL NEED 

Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN

Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch

API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js

MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes

The opportunity:

We're seeking a highly skilled Senior QA Engineer to drive quality within our dynamic team. This role requires a strong blend of manual testing expertise and robust automation skills. You'll champion a 'shift-left' approach, embedding quality from early development stages, and act as an advocate for QA within our e-commerce environment. We value a proactive mindset, including a keen interest in innovation and leveraging modern technologies like AI to enhance testing practices.

What you’ll be doing:

You will be a tester within an Agile team, primarily focusing on testing eCommerce solutions. You will be involved in the preparation of test cases and test plans, and will be required to create and execute both manual and automated tests. You will work closely with developers and utilise CI/CD processes and tooling.

The applicant will be system testing and integration testing on new projects and regression testing as part of on-going site support for several clients.  Experience of testing RESTful services, querying databases and reviewing log file output is expected.

Key Responsibilities

• Work in a 'shift-left' approach; participate in requirements analysis, design reviews, and technical discussions to ensure testability.
• Act as a quality advocate and champion, providing insight and guidance into QA within your project team.
• Provide test estimates and contribute to project planning.
• Analyse requirements to design, document, and execute thorough test cases and Exploratory Test Charters.
• Perform extensive System Testing, System Integration Testing, and targeted exploratory testing across web applications, services, and backend systems.
• Identify, document, and track defects, collaborating with developers on root cause analysis.
• Execute and report on automated and manual test suites, analysing results and reporting quality metrics to stakeholders.
• Enhance and maintain robust test automation packs and scripts, primarily using Playwright with JavaScript/TypeScript.
• Automate E2E, API, and backend tests, integrating them into CI/CD pipelines.
• Contribute to automation reliability, maintainability, and coverage.
• Utilize strong backend testing skills, including SQL querying and server log analysis.
• Contribute to non-functional testing, such as compatibility and accessibility.

What we want from you:

• Proven track record of Quality Assurance.
• Ideally experience testing transactional e-commerce websites.
• Balance of manual testing with automation skills.
• Analytical, problem-solving, and critical thinking skills with an acute eye for detail.
• Good communication and interpersonal skills; effective collaboration across teams.
• Adaptable, organized, and effective in dynamic Agile environments.
• Experience in Playwright (or similar) with JavaScript/TypeScript for test automation.
• Solid understanding and practical experience with CI/CD tools.
• Proficiency in API testing.
• Knowledge of web technologies (HTML, CSS, JavaScript) and web application testing.
• Familiarity with Agile methodologies.
• Experience with AI tooling and an eagerness to explore more in this area.

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-APAC #LI-HYBRID

Data Engineer with experience working with GCP wanted to join us on a permanent basis. You can either join us in our growing Mumbai team or join us remotely from across India. 

Step into the Koppling workstream as a Data Engineer and be a key player in building a sophisticated media data warehouse. Your role will involve developing and deploying robust ETL/ELT data pipelines to automate the integration of 3rd party data sources at scale. This is an excellent opportunity to apply solid technical problem-solving skills, advance your data engineering capabilities, and gain a foundational understanding of the marketing data domain. You'll contribute to creating a centralized, reliable data source that informs critical business decisions, working within a collaborative team environment.

What you’ll be doing

• Developing, and deploying robust ETL/ELT data pipelines using Python and SQL to integrate various 3rd party data sources.
• Automating the integration of 3rd party data sources at scale, ensuring data accuracy and timeliness for our media data warehouse.
• Utilizing Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, and Scheduler for efficient data processing and orchestration.
• Performing data modeling and transformations using dbt and SQL to structure and refine data within the media data warehouse.
• Managing and version controlling pipeline code and configurations using Git, ensuring collaborative development and deployment.
• Troubleshooting and optimizing existing data pipelines to enhance reliability, performance, and scalability.
• Applying infrastructure-as-code principles to manage data resources, potentially using tools like Terraform for environment provisioning.
• Developing or integrating APIs for complex data ingestion and exploring the use of streaming data technologies like Kafka or Pub/Sub for real-time data needs.
• Implementing and maintaining CI/CD pipelines to automate the testing, deployment, and monitoring of data solutions.

What we want from you

• Professional experience in data engineering or a similar role.
• Hands-on experience with Google Cloud Platform (GCP) services including BigQuery, Cloud Run, and Scheduler.
• Proficiency in SQL for data manipulation and analysis.
• Strong programming skills in Python.
• Experience with dbt.
• Familiarity with infrastructure-as-code principles.
• Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving skills, attention to detail, and a proactive attitude.
• Ability to work independently and as part of a team in a fast-paced environment.

Desirable Attributes

• Familiarity with Terraform.
• Experience with API Development.
• Knowledge of streaming data processing concepts (e.g., Kafka, Pub/Sub).
• Familiarity with CI/CD pipelines.
• Relevant GCP certifications are a plus.

WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.

WHAT YOU'LL DO

1. Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
2. Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
3. Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
4. Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
5. Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
6. Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.

WHAT YOU'LL NEED 

Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN

Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch

API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js

MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes

BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required. 

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. 
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 
• Collaborates effectively with cross-functional teams to deliver end-to-end products & features. 
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. 
• Estimates efforts, identify risks, devises and meets project schedules. 
• Runs review meetings effectively and drive the closure of all open issues on time. 
• Evolve prompt engineering applications and benchmark different Large Language models to solve business problems.                  
• Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. 
• Implement and experiment with agentic workflows to improve the job seeker experience. 
• Rises above detail to see broader issues and implications for whole product/team.  

WHAT YOU’LL NEED

• Should be able to handle a team of 2-5 members, if required. 
• Knowledge and experience using statistical and machine learning algorithms, including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods 
• Expert knowledge in Python.  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Experience in using large language models. 
• Experience with distributed, semantic and vector based search and match systems.  
• Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably LLM agents. 
• Experience in feature selection, building and optimizing classifiers. 
• Experience with software stack components, including common programming languages, back-end technologies, database modelling, continuous integration, services-oriented architecture, software testability, etc. 
• Langchain and/or Llamaindex. 
• Be a keen learner and enthusiastic about developing software. 
   

EXPERIENCE- 

• Project Lead, Data Science- 8 years+

#LI-SV1

BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. 
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 
• Collaborates effectively with cross functional teams to deliver end-to-end products & features. 
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. 
• Estimates efforts, identify risks, devises and meets project schedules. 
• Runs review meetings effectively and drive the closure of all open issues on time 
• Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. 
• Rises above detail to see broader issues and implications for whole product/team. 

WHAT YOU’LL NEED

• Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods 
• Expert knowledge in Python.  
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design. 
• Experience with Solr/OpenSearch/Elasticsearch .
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Experience with embedding & vector search  
• Experience in using large language models. 
• Experience in feature selection, building and optimising classifiers. 
• Experience working with backend technologies such as Flask/ Gunicorn etc. 
• Experience on working with open source library such Spacy,NLTK,Gensim etc  
• Experience on working with deep-learning library such as Tensor flow, Pytorch etc  
• Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. 
• Be a keen learner and enthusiastic about developing software.  

EXPERIENCE- 

• Module Lead, Data Science- 5.5 years

#LI-SV1

BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required

ABOUT THIS TEAM

The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.

The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.

WHAT YOU’LL DO 

• Build AIML models that serve for content generation, content recommendation, and content moderation using LLMs. 
• Responsible for converting business requirements into robust data science algorithms. 
• Responsible for providing technical leadership to a team of data science engineers. 
• Responsible for design, development, deployment of AI/ML, NLP, statistical & content recommendation algorithms that may not require LLMs.  
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams 
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience 
• Collaborates effectively with cross functional teams to deliver end-to-end products & features. 
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. 
• Responsible for creating model validation framework. 
• Leading a data science team that delivers actionable results through the combination of data science solutions, business skills, statistical knowledge, and understanding of data. 
• Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams. 
• Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation. 
• Assess, inspire and motivate a high performing team of data science professionals. 

WHAT YOU’LL NEED

• Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution. 
• Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods. 
• 10+ yrs of working experience in MLData science with NLP background  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus. 
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML(Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch). 
• Experience in leading a team of 3-5 data scientists. 
• Experience using tools to deploy models into the production environment such as Jenkins 

 EXPERIENCE- 

• Engineering Manager, Data Science- 10 years+

#LI-SV1

BOLD is seeking for QA professional who will work directly with the BI Development team to validate Business Intelligence solutions. He will build test strategy and test plans and test cases for ETL and Business Intelligence components. He will also validate SQL queries related to test cases and produce test summary reports. 

ABOUT THIS TEAM

BOLD Business Intelligence(BI) team is a centralized team responsible for managing all aspects of the organization's BI strategy, projects and systems. BI team enables business leaders to make data-driven decisions by providing reports and analysis. The team is responsible for developing and manage a latency-free credible enterprise data warehouse which is a data source for decision making and input to various functions of the organization like Product, Finance, Marketing, Customer Support etc.

BI team has four sub-components as Data analysis, ETL, Data Visualization and QA. It manages deliveries through Snowflake, Sisense and Microstrategy as main infrastructure solutions. Other technologies including Python, R, Airflow are also used in ETL, QA and data visualizations.

WHAT YOU’LL DO

• Work with Business Analysts, BI Developers to translate Business requirements into Test Cases  
• Responsible for validating the data sources, extraction of data, applying transformation logic, and loading the data in the target tables.  
• Designing, documenting and executing test plans, test harness, test scenarios/scripts & test cases for manual, automated & bug tracking tools. 

WHAT YOU’LL NEED

• Experience in Data Warehousing / BI Testing, using any ETL and Reporting Tool 
• Extensive experience in writing and troubleshooting SQL Queries using any of the Databases – Snowflake/ Redshift / SQL Server / Oracle 
• Exposure to Data Warehousing and Dimensional Modelling Concepts  
• Experience in understanding of ETL Source to Target Mapping Document  
• Experience in testing the code on any of the ETL Tools 
• Experience in Validating the Dashboards / Reports on any of the Reporting tools – Sisense / Tableau / SAP Business Objects / MicroStrategy  
• Hands-on experience and strong understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). 
• Good experience of Quality Assurance methodologies like Waterfall, V-Model, Agile, Scrum.  
• Well versed with writing detailed test cases for functional & non-functional requirements. 
• Experience on different types of testing that includes Black Box testing, Smoke testing, Functional testing, System Integration testing, End-to-End Testing, Regression testing & User Acceptance testing (UAT) & Involved in Load Testing, Performance Testing & Stress Testing. · Expertise in using TFS / JIRA / Excel for writing the Test Cases and tracking the  
• Exposure in scripting languages like Python to create automated Test Scripts or Automated tools like Query Surge will be an added advantage 
• An effective communicator with strong analytical abilities combined with skills to plan, implement & presentation of projects 

EXPERIENCE- 

• QA Engineer, BI: 2.5 years+
• Senior QA Engineer, BI: 4.5 years+

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BOLD is seeking for .Net professional, you will be a member of the product or platform development team that develops, customizes and support our various web-based products or services to meet the growing business needs.  

Your role will be to design and develop the layers of our applications, and to work in collaboration with other teams. A commitment to collaborative problem solving, sophisticated design, and quality product is essential. We're looking for someone who has a passion for software development and using the best of new and emerging technologies to create revenue generating software products in a deadline driven environment. 

ABOUT THIS TEAM

BOLD Platform services team design, creates, manage and maintains the highly scalable and distributed services for the wider use of web and mobile product applications/portals/websites. The current list of services is based on Microservices architecture whose domain ranges from visitor tracking, User profiles, authentication, content and payments.

Platform team uses state of the art modern technologies like .Net framework, Python, Java, SQL Server, My SQL, Graph DB, SOLR, and a lot of other tools & technologies serving millions of users with hundreds of million transactions everyday through a scalable and fault tolerant architecture.

WHAT YOU’LL DO

• Develop, test and deliver high quality, clean and maintainable code. 
• Translate application storyboards and use cases into functional applications. 
• Develop applications with strong requirements of High Load and Scalability. 
• Collaborate with business teams to understand the objectives. 
• Design, build, and maintain efficient, reusable, and reliable code. 
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues. 
• Help maintain code quality, organization, and automatization. 

 WHAT YOU’LL NEED

• Excellent experience in object-oriented programming language (C#.) 
• Understanding of MVC is beneficial 
• Hands on experience in RDBMS (SQL Server etc.) 
• Experience in WEB API, SOLID Principle. 
• Experience of design patterns and practical implementation knowledge 
• Experience of ORM tools. 
• Familiarity with n-tier environment 
• Good analytical and problem solving skills 

EXPERIENCE:  

• Senior Software Engineer- 4.5 years+
• Module Lead- 5.5 years+

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