Cognizant is hiring an MLOps Engineer to advance our data science capabilities. You will focus on implementing MLOps tools and frameworks to elevate the organization's MLOps maturity and automate Data Science processes.
What You'll Do
- Research and implement MLOps tools, frameworks, and platforms for Data Science projects.
- Work on a backlog of activities to raise MLOps maturity within the organization.
- Proactively introduce a modern, agile, and automated approach to Data Science.
- Design and manage pipelines for Model Deployment, Inference, Monitoring, and Retraining.
- Implement drift detection for both data and model performance.
- Establish and maintain experiment tracking systems.
- Design and evolve MLOps architecture.
- Publish models as REST APIs.
What We're Looking For
- 5+ to 12 years of relevant professional experience.
Technical Stack
- Cloud ML Platforms: AWS SageMaker, Azure ML Studio, GCP Vertex AI
- Data & Compute: PySpark, Azure Databricks
- MLOps Tools: MLFlow, KubeFlow, AirFlow
- CI/CD & Orchestration: Github Actions, AWS CodePipeline
- Infrastructure: Kubernetes, AKS, Terraform
- API Development: Fast API
Work Mode
This is an onsite position located in Pune.
