Machine Learning Engineer

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

About TCS

TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India\'s largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada. The company generated consolidated revenues of US $ 30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS\' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.

Required skill set

Design and implement ML pipelines using AWS SageMaker, including data preprocessing, model training, tuning, and deployment.

Develop and integrate Generative AI applications using AWS Bedrock and foundation models (e.g., Titan, Claude, Llama).

Build APIs and microservices to expose ML models for consumption by applications.

Optimize ML workflows for cost efficiency and scalability in AWS environments.

Collaborate with data scientists and business stakeholders to translate requirements into technical solutions.

Implement security best practices for ML models and data in AWS.

Monitor and maintain deployed models, ensuring performance and reliability.

Hands-on experience with AWS SageMaker (training, inference, pipelines, model registry).

Strong knowledge of AWS Bedrock and generative AI concepts (LLMs, prompt engineering).

Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Experience with AWS services Lambda, API Gateway, S3, IAM, CloudWatch.

Familiarity with MLOps practices and CICD pipelines for ML.

Understanding of data engineering concepts and feature engineering.

Excellent problem-solving and communication skills.

Salary Range Format :

Base Salary Range : 90K CAD / Yr –120k CAD / Yr

AI Usage Note :

TCS does not use artificial intelligence tools for candidate screening or evaluation.

This posting is for a current vacancy

The hiring process includes an initial screening by the TCS Hiring Team, followed by a technical evaluation and managerial discussion conducted by the Business Team, and concluding with the final HR evaluation.

© TCS is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

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