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 (212 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 Pipelines
- Build CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI/CD
- Automate ML workflows including feature engineering, retraining, and deployment
- Scale ML models using Docker, Kubernetes, and Airflow
- Ensure model observability, security, and cost efficiency across cloud platforms (AWS, GCP, Azure)
Must-Have Skills
- Proficiency in Python, TensorFlow, PyTorch, and CI/CD practices
- Hands-on experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
- Expertise in monitoring tools like MLflow, Prometheus, and Grafana
- Familiarity with distributed data processing tools (Spark, Kafka)
Bonus Skills
- Experience with A/B testing, canary deployments, or serverless ML architectures
- Contributions to open-source MLOps tools or frameworks
Next Steps
- Register on the Soul AI website
- Complete the screening rounds
- Get matched with top-tier AI projects through our Expert Community
