MLOps Engineer (Freelancer)

Soul Ai; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Soul Ai is seeking an 'ML Engineer' to design and automate end-to-end ML pipelines, from data ingestion to deployment. The role emphasizes scalable model deployment with containerization and orchestration platforms, and implementing robust monitoring and governance for production ML systems.

The candidate will work across cloud ML platforms (AWS, GCP, Azure ML), containers, and workflow tools to ensure reliable, scalable, and well-governed ML solutions for diverse applications.

Qualifications

• Must have strong Python experience with ML frameworks (TensorFlow, PyTorch).
• Cloud ML platform experience (AWS, GCP, Azure ML) is required.
• Hands-on knowledge of CI/CD, monitoring, and data/version control practices.

Responsibilities

• Build and automate ML pipelines (Kubeflow, MLflow, Airflow).
• Develop and optimize CI/CD workflows for ML systems.
• 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

AWS

GCP

Azure ML

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