Tata Consultancy Services

ML Ops Developer at Tata Consultancy Services in Chennai

Tata Consultancy Services

Chennai, Tamil Nadu, India · Full Time

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Experience
4–15 yrs
Salary
Openings
1
Posted
11 seconds ago
Work mode
In office
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Job description

About the Role

Tata Consultancy Services is seeking experienced ML Ops Developers with 4 to 15 years of experience. The role is based in Chennai with a face-to-face interview scheduled on 19th September.

Key Responsibilities

  • Develop, deploy, and manage scalable and reliable Machine Learning platforms ready for production.
  • Handle the entire ML lifecycle including End-to-End MLOps and lifecycle management.
  • Design and implement Continuous Integration/Continuous Delivery (CI/CD) and Continuous Training (CT) pipelines tailored for machine learning workflows.
  • Utilize containerization and orchestration tools such as Docker and Kubernetes to manage ML pipeline execution.
  • Work extensively with MLOps platforms like MLflow and Kubeflow or similar tools for streamlined pipeline orchestration.
  • Monitor model performance, detect drift, and maintain observability of deployed models.
  • Leverage cloud environments including AWS, Azure, and Google Cloud Platform (GCP) for deployment and resource management.
  • Implement security protocols, governance policies, compliance measures, and fine-grained access controls related to ML systems.
  • Develop and maintain software components in programming languages such as Python, Java, or .NET.
  • Apply Machine Learning frameworks including TensorFlow, PyTorch, and Keras for development purposes.
  • Focus on production deployment automation and continuously improve operational excellence in ML systems.

Additional Information

The interview will be conducted face-to-face in Chennai on 19th September. The company is looking for candidates passionate about scalable ML platform development and hands-on with respective tools and environments.

Tools & software

TensorFlow Docker required Kubernetes required Mlflow required Kubeflow required Amazon Web Services AWS required Google Cloud Platform required Microsoft Azure required

How they work

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