MLOps Engineer (Freelancer)

Soul Ai; Mumbai; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

Soul Ai in Mumbai seeks an experienced ML engineer to build and automate ML pipelines and optimize CI/CD workflows. You will deploy models at scale using Docker, Kubernetes, and cloud ML platforms, while implementing monitoring and governance frameworks to ensure reliable AI services.

Responsibilities include deploying scalable ML solutions, collaborating with cross-functional teams, and contributing to robust ML governance and observability in production.

Qualifications

• Proficiency in Python, TensorFlow and PyTorch for model development and deployment.
• Experience with cloud ML platforms (AWS/GCP/Azure ML) and data versioning practices.
• Solid understanding of CI/CD, monitoring and governance in ML workflows.

Responsibilities

• Build and automate ML pipelines (Kubeflow, MLflow, Airflow).
• Develop and optimize CI/CD workflows for ML models and data.
• Deploy ML models at scale using Docker, Kubernetes and cloud ML services.
• Implement monitoring and governance frameworks for ML deployments.

Skills

Python

TensorFlow

PyTorch

CI/CD

Monitoring

Data versioning

Tools

AWS

GCP

Azure ML

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