MLOps Engineer

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.
• 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.