MLOps Engineer (Freelancer)

Soul Ai; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Soul Ai in India seeks an ML Engineer to build and automate end-to-end ML pipelines and deploy models at scale. You will own CI/CD workflows, monitoring, and governance across cloud platforms, Kubernetes, and containerized environments.

The role requires strong Python and ML framework skills, with hands-on experience in Kubeflow, MLflow, Docker, and cloud ML services. Join a fast-paced team focused on delivering scalable ML solutions and robust deployment practices across multiple offices in

Qualifications

• Proficient in Python with ML frameworks.
• Experience with cloud ML platforms (AWS/GCP/Azure).
• Experience with 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

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