MLOps Engineer (Freelancer)

Soul Ai; New Delhi; Hybrid; INR 1,240,000 - 2,066,000; Full time

Benefits offered by this job

Premium compensation

Flexible contracts

Remote work options

Exclusive AI talent pool

Job summary

Soul AI is seeking skilled MLOps Engineers to advance high-impact AI projects on a contract and freelance basis. You will build and automate end-to-end ML pipelines using Kubeflow, MLflow, and Airflow, while deploying models with Docker and Kubernetes.

The role emphasizes observability and performance tuning across modern cloud ML environments. Ideal candidates have strong Python, TensorFlow, PyTorch, and MLOps tool experience, plus hands-on cloud ML (AWS/GCP/Azure) and data-versioning skills

Qualifications

• Strong Python, TensorFlow, PyTorch, and MLOps tools.
• Hands-on with AWS/GCP/Azure ML.
• Experience in data versioning (DVC, Delta Lake).
• Understanding of distributed data processing (Spark, Kafka).
• Bonus experience with serverless ML, federated learning, A/B testing.

Responsibilities

• Build & automate ML pipelines using Kubeflow, MLflow, Airflow.
• Develop CI/CD pipelines (GitHub Actions, Jenkins, GitLab).
• Deploy ML models with Docker, Kubernetes, and cloud ML platforms.
• Optimize model performance & observability (Evidently AI, Grafana, Prometheus).

Skills

Python

TensorFlow

PyTorch

MLOps

Tools

Kubeflow

MLflow

Airflow

GitHub Actions

Jenkins

Docker

Kubernetes

Grafana

Prometheus

Job description

Calling all MLOps Engineers! Looking to work on high-impact AI projectsSoul AI (by Deccan AI) is hiring Indias best talent for contract & freelance roles

Whats in it for you

• Premium compensation (above market standards)
• Flexible contracts (2\"“12 months)
• Remote & hybrid opportunities(Hyderabad/Bangalore)
• Be part of an exclusive AI talent pool

Your Responsibilities:

• Build & automate ML pipelines using Kubeflow, MLflow, Airflow
• Develop CI/CD pipelines (GitHub Actions, Jenkins, GitLab)
• Deploy ML models with Docker, Kubernetes, and cloud ML platforms
• Optimize model performance & ensure observability (Evidently AI, Grafana, Prometheus)

Must-Have

Skills:

• Strong expertise in Python, TensorFlow, PyTorch, MLOps tools
• Hands-on with AWS/GCP/Azure ML
• Experience in data versioning (DVC, Delta Lake)
• Understanding of distributed data processing (Spark, Kafka)
• BonusExperience with serverless ML, federated learning, A/B testing

Ready to unlock top AI opportunities