AI/ML Engineer – Data Science & MLOps

Tata Consultancy Services (TCS) is seeking an AI/ML Engineer – Data Science & MLOps to develop, deploy, and operationalize AI/ML solutions across enterprise data platforms. You will contribute to machine learning engineering, MLOps, Generative AI solutions, model evaluation, deployment, monitoring, and production reliability.

TCS is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence, and customer service. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents.

Join TCS in São Paulo, Brazil, and be at the forefront of AI innovation. Apply now to shape the future of AI-led technology services!

Company Overview

Tata Consultancy Services (TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence, and customer service. It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence. Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large.

Quick Details

• Salary Range: Not Specified
• Job Type: Full-time
• Experience: 5 Year+
• Qualifications: Bachelor’s degree

Key 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 and operational data.
• Build document intelligence and knowledge assistant solutions.

Requirements

• 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.
• Working knowledge of Generative AI, LLMs, RAG, embeddings, vector search, and AI Agents.
• Hands-on experience in delivering GenAI projects using prompt engineering, recovery pipelines, agent orchestration, and assessment tools.
• Experience consuming and developing REST APIs and integrating multiple data sources.
• Experience with Azure, Databricks, and/or comparable cloud ML/data platforms.

Benefits

• Health, dental, and life insurance.
• Meal and transportation vouchers.
• Childcare assistance.
• Fitness and wellness benefits.
• 24/7 support through TCS Cares.
• Access to cultural, wellness, and recreational programs.
• Global career opportunities through access to the latest technologies.
• World-class learning platforms, professional certifications, and mentorship programs.