Soul AI, founded by IIT Bombay and IIM Ahmedabad alumni, is building an elite network of AI professionals to power the next generation of intelligent systems. With operations in San Francisco and Hyderabad, we specialize in high-quality human-curated data and AI-first scaled operations. We're now seeking top-tier MLOps Engineers to join our expert community and work on cutting-edge AI projects with global impact.
Why Join
- Above market-standard compensation
- Contract-based or freelance roles (2–12 months)
- Collaborate with industry leaders solving real AI challenges
- Flexible work locations : Remote, Onsite, or Hybrid (Hyderabad / Bangalore)
Your Role
Architect and optimize ML infrastructure using Kubeflow, MLflow, and SageMaker PipelinesBuild CI / CD pipelines with GitHub Actions, Jenkins, or GitLab CI / CDAutomate ML workflows including feature engineering, retraining, and deploymentScale ML models using Docker, Kubernetes, and AirflowEnsure model observability, security, and cost efficiency across cloud platforms (AWS, GCP, Azure)Must-Have Skills
Proficiency in Python, TensorFlow, PyTorch, and CI / CD practicesHands-on experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)Expertise in monitoring tools like MLflow, Prometheus, and GrafanaFamiliarity with distributed data processing tools (Spark, Kafka)Bonus Skills
Experience with A / B testing, canary deployments, or serverless ML architecturesContributions to open-source MLOps tools or frameworksNext Steps
Register on the Soul AI websiteComplete the screening roundsGet matched with top-tier AI projects through our Expert CommunitySkills Required
Continuous Integration, Tensorflow, Pytorch, Python