MLOps Engineer (Freelancer)

Soul Ai; Delhi; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Soul Ai is seeking a skilled ML/DevOps professional to build and automate ML pipelines, optimize CI/CD workflows, and deploy models at scale using Docker and Kubernetes. The role covers monitoring and governance to ensure reliable ML operations across cloud platforms.

Delhi NCR and other major Indian tech hubs are within scope. The candidate should have strong Python experience with ML frameworks and hands-on deployment expertise, including Kubeflow, MLflow, and Airflow, and be comfortable

Qualifications

• Strong Python experience with ML libraries and deployment.
• Hands-on with TensorFlow or PyTorch in production.
• Experience building scalable ML pipelines and monitoring.

Responsibilities

• Build & automate ML pipelines (Kubeflow, MLflow, Airflow).
• Develop & optimize CI/CD workflows.
• Deploy ML models at scale with Docker, Kubernetes, cloud ML platforms.
• Implement monitoring & governance frameworks.

Skills

Python

TensorFlow

PyTorch

CI/CD

Monitoring

Data versioning

Tools

Kubeflow

MLflow

Airflow

Docker

Kubernetes

Job description

Your Responsibilities:

• Build & automate ML pipelines (Kubeflow, MLflow, Airflow)
• Develop & optimize CI/CD workflows
• Deploy ML models at scale with Docker, Kubernetes, cloud ML platforms
• Implement monitoring & governance frameworks

Must-Have Skills:

• Python, TensorFlow, PyTorch
• AWS, GCP, Azure ML expertise
• CI/CD, monitoring, data versioning knowledge

Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad