ML Ops Developer at Tata Consultancy Services in Chennai
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
- Resume
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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
Attention to Detail