MLOps Engineer (Freelancer)

Soul Ai; Gurugram District; Hybrid; INR 2,400,000 - 4,000,000; Part time

Benefits offered by this job

Premium compensation

Flexible contracts (2–12 months)

Remote & hybrid opportunities

Exclusive AI talent pool

Job summary

Soul AI, powered by Deccan AI, is seeking skilled MLOps Engineers for contract and freelance roles across India. Enjoy premium compensation, flexible terms (2–12 months), and options for remote or hybrid work in major cities.

In this role you will build and automate ML pipelines with Kubeflow, MLflow and Airflow; deploy models with Docker/Kubernetes on cloud ML platforms; and optimize performance with observability tools.

Qualifications

• Proficient in building ML pipelines and CI/CD for ML models.
• Hands-on experience with cloud ML platforms.
• Strong Python, TensorFlow, PyTorch proficiency.
• Experience with versioning/data lineage (DVC).

Responsibilities

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

Skills

Python

TensorFlow

PyTorch

MLOps tools

Cloud ML platforms

Tools

Kubeflow

MLflow

Airflow

Docker

Kubernetes

GitHub Actions

Jenkins

GitLab

Delta Lake

DVC

Spark

Kafka

Cloud ML Platforms

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