MLOps Engineer (Freelancer)

Soul Ai; Mumbai; On-site; INR 1,200,000 - 1,900,000; Full time

Job summary

Soul Ai in India is seeking a skilled ML engineer to build and automate ML pipelines using Kubeflow, MLflow, and Airflow. You will develop and optimize CI/CD workflows and deploy ML models at scale with Docker and Kubernetes on cloud ML platforms.

Additionally, you will implement monitoring and governance frameworks to ensure reliable, auditable ML deployments across multiple cloud environments. The role requires strong Python, TensorFlow, PyTorch expertise and a hands-on approach to data

Qualifications

• Must have strong Python, TensorFlow, and PyTorch skills.
• Experience with CI/CD, monitoring, and data versioning is required.
• Ability to deploy ML models at scale in cloud environments using containerized tech.

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

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