Inclusion without Exception:
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 employs over 612,000 of the world's best-trained consultants in 55 countries. The company generated consolidated revenues of US $29 billion in the fiscal year ended March 31, 2024, 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.
Role Description:
• Design and develop ML systems: Choose the right algorithms, designing data pipelines, and building scalable models.
• Data preparation and feature engineering: Gather, clean, and transform data into a usable format for training models.
• Model training and evaluation: Train models on the prepared data, evaluating their performance using metrics, and fine-tuning them to achieve optimal results.
• Model deployment and monitoring: Deploy models into production on-prem or on cloud infrastructure, ensuring their reliability and performance, and monitoring their performance over time.
• Collaboration: Work with data scientists, software engineers, and domain/business experts to develop and implement ML solutions.
Required Skill Set:
• Strong experience with Deep Learning and NLP
• Hands on working knowledge of interfacing with LLM APIs and LLM agents, prompts and responses
• Strong programming skills in languages such as Python, java, or C++. Experience with cloud platforms (AWS, GCP, and Azure) and MLOps tools.
• Hands-on experience in machine learning development, and experience leading a team of machine learning developers or engineers.
• Strong understanding of software development principles, including design patterns, testing, and deployment.
• Experience with DevOps practices such as CI/CD, experience with containerization using Docker and Kubernetes.
• Strong understanding of application implementation requirements, including risk, privacy, and compliance.
• Excellent communication and leadership skills, with the ability to work effectively with cross-functional teams
• Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster, Flyte, or MetaFlow;
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow and/or similar orchestration and warehousing platforms
• Understanding of CI/CD principles, version control, and production deployment best practices
Tata Consultancy Services Canada Inc. 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.