AI/ML Engineer – Data Science & MLOps

Tata Consultancy Services Limited; São Paulo; Hybrid; BRL 250,000 - 420,000; Full time

Benefits offered by this job

Health, dental, and life insurance

Meal and transportation vouchers

Childcare assistance

Fitness and wellness benefits

24/7 support through TCS Cares (psych,

Cultural, wellness, and recreational

Job summary

Tata Consultancy Services is seeking an experienced data scientist/ML engineer to develop and operationalize AI/ML solutions. You will build pipelines, implement MLOps, and evaluate state-of-the-art AI including Generative AI and AI agents, leveraging Azure Databricks and cloud platforms.

The role requires 5+ years in Data Science/ML, strong Python/SQL skills, and a solid foundation in model evaluation, governance, and privacy. Hybrid work model in Brazil with comprehensive benefits.

Qualifications

• Bachelor’s degree in computer science, software engineering, or a related field.
• 5+ years of relevant industry experience in Data Science and Machine Learning.
• Proven experience developing and operationalizing AI/ML solutions in production.
• Strong hands-on experience with Python, SQL, and machine learning frameworks.
• Experience with MLOps, CI/CD, Git, model/version management and monitoring.
• Familiarity with Generative AI, LLMs, RAG, embeddings, vector search, and AI Agents.
• Experience consuming and developing REST APIs and integrating multiple data sources.
• Experience with Azure, Databricks, and/or comparable cloud ML/data platforms.

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 enterprise data.
• Build document intelligence and knowledge assistant solutions, including document extraction, embeddings, and retrieval adjustment to the ground Answers in business sources.
• Develop AI agent workflows with prompt design, tool/API integration, and humans in the loop.
• Review for business tasks such as document analysis, reporting, and knowledge management.

Skills

Python

SQL

ML frameworks

MLOps

CI/CD

REST APIs

Azure / Databricks

Vector search

Responsible AI

Team collaboration

Education

Bachelor’s degree in Computer Science / Software Engineering or related field

Tools

Azure

Databricks

MLflow

Job description

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