MLOps Engineer (Freelancer)

Soul Ai; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Soul Ai is seeking a skilled ML Engineer to design and automate end-to-end ML workflows in a Bengaluru-centric team. You will build scalable pipelines, implement CI/CD processes, and deploy models with containerized and cloud-based platforms.

You will also establish monitoring and governance to ensure reliable model performance and compliance across cloud environments. This role demands strong Python proficiency and hands-on experience with major ML frameworks.

Qualifications

• Proficiency in Python, TensorFlow, PyTorch.
• Experience with AWS, GCP and Azure ML.
• 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 using Docker, Kubernetes, and cloud ML platforms.
• Implement monitoring & governance frameworks.

Skills

Python

TensorFlow

PyTorch

AWS

GCP

Azure ML

CI/CD

Monitoring

Data versioning

Tools

Kubeflow

MLflow

Airflow

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