MLOps Engineer

Location: Gurugram

Experience: 4+ Years

Type: Permanent Full time

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

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.

Preferred Candidate Profile:
4+ years of experience in MLOps / ML Engineering / Data Engineering.
Solid 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.
Solid understanding of ML lifecycle, automation and production deployment.

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