onsite
MlOps engineer
MLOps Engineer
Tata Consultancy Services is seeking an MLOps Engineer to create scalable, automated pipelines for deploying and managing machine learning models in production. This role involves monitoring model performance, maintaining enterprise AI platforms, and ensuring robust AI infrastructure.
About the role
About Tata Consultancy Services
TCS has always been in the spotlight for being adept in “the next big technologies”. What we can offer you is a space to explore varied technologies and quench your techie soul.
About the Role
We are looking for an MLOps Engineer with 6-12 years of experience.
Responsibilities
- Creates scalable and automated pipelines for deploying and managing machine learning models in production environments.
- Monitors model performance, maintains enterprise AI platforms, and ensures reliable AI infrastructure.
- Focuses on the operationalization of AI through robust and scalable systems.
Requirements
- 5+ years of experience in software development, with a focus on machine learning or data science.
- Strong understanding of MLOps principles and practices.
- Strong programming skills in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Experience with cloud-based infrastructure, including AWS or GCP (a plus).
Skills
PythonTensorFlowPyTorchscikit learnAWSGCP