MLOps Engineer

Soul AI is seeking talented MLOps Engineers for freelance opportunities within our expert community. We connect top AI professionals with innovative projects, offering above market-standard compensation and contract-based roles ranging from 2 to 12 months. Work with industry leaders on real AI challenges with flexible work options, including remote, onsite in Hyderabad/Bangalore, or hybrid.

Your role will involve architecting and optimizing ML infrastructure using tools like Kubeflow, MLflow, and SageMaker Pipelines. You will build robust CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI/CD, and automate ML workflows for feature engineering, retraining, and deployment. Scaling ML models with Docker, Kubernetes, and Airflow, while ensuring model observability, security, and cost optimization in cloud environments (AWS/GCP/Azure) will be key responsibilities.

Must-Have Skills:

• Proficiency in Python, TensorFlow, PyTorch, and CI/CD pipelines.
• Hands-on experience with cloud ML platforms such as AWS SageMaker, GCP Vertex AI, or Azure ML.
• Expertise in monitoring tools including MLflow, Prometheus, and Grafana.
• Knowledge of distributed data processing frameworks like Spark and Kafka.
• (Bonus) Experience in A/B testing, canary deployments, and serverless ML.

To join, register on Soul AI's website, complete our screening rounds, and become part of our Expert Community to be matched with top AI projects.