AI/ML Engineer – Data Science
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Responsibilities
- Develop, evaluate, and operationalize machine learning models
- Build reusable ML pipelines covering data preparation, training, validation, deployment, and monitoring
- Develop evaluation frameworks and KPIs to measure model performance and reliability and business outcomes
- Implement MLOps/LLMOps practices, including experiment tracking, versioning,
- CI/CD, monitoring and model lifecycle management
- Develop and evaluate Generative AI, RAG, and AI agent solutions using enterprises
and operational data
- Build document intelligence and knowledge assistant solutions, including
- Document extraction, fragmentation, embeddings and retrieval adjustment to the ground Answers in business sources
- Develop AI agent workflows with prompt design, tool/API integration, and humans
- Review for business tasks such as document analysis, reporting, and knowledge
Recovery
Required Skills & Qualifications:
- Bachelor’s degree in computer science, Software Engineering, Computer Science Engineering, or a related field.
- 5+ years of relevant industry experience in Data Science and Machine Learning
- Engineering, MLOps, or related functions
- Proven experience developing and operationalizing AI/ML solutions in production
- Strong hands-on experience with Python, SQL, and machine learning frameworks
- Strong understanding of statistics, supervised/unsupervised learning, trait
- Model engineering and evaluation
- Experience in building and deploying ML solutions in production
- Experience with MLOps,CI/CD, Git, model/version management and monitoring
- Working knowledge of Generative AI, LLMs, RAG, embeddings, vector search, and AI Agents
- pipelines, agent orchestration, and assessment tools, with an understanding of
- Responsible AI and corporate data privacy
- Experience consuming and developing REST APIs and integrating multiple data sources
- Experience with Azure, Databricks, and/or comparable cloud ML/data platforms
- Familiarity with technologies such as Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, and MLflow is an asset.
Work Model: Hybrid
- Health, dental, and life insurance
- meal and transportation vouchers
- childcare assistance
- fitness and wellness benefits
- and 24/7 support through TCS Cares, including psychological, legal, social, and financial assistance.
Access to cultural, wellness, and recreational programs through company-sponsored partnerships.
Global career opportunities through access to the latest technologies, world-class learning platforms, professional certifications, and mentorship programs designed to accelerate your growth and future-ready skills.
Tata Consultancy Services is an equal opportunity employer. Our commitment to diversity and inclusion drives us to provide equal opportunities to all candidates who meet our required knowledge and competency needs, regardless of socio-economic background, race, color, national origin, religion, sex, gender identity, age, marital status, disability, sexual orientation, or any other protected characteristic
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