MLOps Engineer

Location : Gurugram, Noida, Delhi, NCR

Experience : 4+ Years

Type : Permanent Full-Time

Role & Responsibilities :

- Build and manage end-to-end MLOps pipelines for ML model development and deployment.

- Develop data/ML workflows using Python and PySpark.

- Implement CI/CD pipelines for automated model testing, deployment and monitoring.

- Containerize ML applications using Docker and manage orchestration using Kubernetes or equivalent platforms.

- Work with AWS/Azure/GCP cloud services for scalable ML infrastructure.

- Implement model deployment, versioning, monitoring and automation.

- Collaborate with Data Scientists, Data Engineers and DevOps teams to productionize ML models.

Tech Stack :

- MLOps, Python, PySpark, CI/CD, Git, Containerization, Orchestration, Cloud (AWS/Azure/GCP)

Preferred Candidate Profile :

- 4+ years of experience in MLOps / ML Engineering / Data Engineering.

- Strong hands-on experience with Python, PySpark, CI/CD and Git.

- Practical experience in Docker/containerization and Kubernetes/orchestration.

- Experience working on at least one major cloud platform: AWS, Azure or GCP.

- Strong understanding of ML lifecycle, automation and production deployment.