MLOps Engineer (Freelancer)

Soul Ai; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Soul Ai is seeking a skilled ML engineer to design and automate ML pipelines, optimize CI/CD workflows, and deploy models at scale using Docker and Kubernetes across multiple cloud ML platforms.

The role emphasizes robust monitoring, governance, and data versioning to ensure reliable and compliant model operations in a dynamic AI environment.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with cloud ML platforms (AWS, GCP, Azure ML).
• Hands-on knowledge of CI/CD, monitoring, and data versioning.

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

Kubeflow

MLflow

Airflow

Docker

Kubernetes

AWS

GCP

Azure ML

Tools

Kubeflow

MLflow

Airflow

Docker

Kubernetes

Cloud ML platforms

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