Are you an MLOps Engineer ready to elevate your expertise Soul AI (by Deccan AI) is building a high-caliber network of professionals to collaborate on cutting-edge AI initiatives. This is your chance to solve real-world AI challenges alongside industry leaders.
Why Join
- Compensation above market standards
- Flexible contract durations (2 to 12 months)
- Opportunities for freelance or contract-based work
- Work remotely, onsite with clients, or from Soul AI offices in Hyderabad or Bangalore
- Become part of an exclusive community of AI experts
Your Role
- Architect and optimize ML infrastructure using Kubeflow, MLflow, and SageMaker Pipelines
- Build and maintain CI/CD workflows with GitHub Actions, Jenkins, GitLab CI/CD
- Automate full ML pipelines for feature engineering, model retraining, and deployment
- Scale ML models using Docker, Kubernetes, and Airflow
- Ensure observability, security, and cost optimization in AWS, GCP, or Azure environments
Must-Have Skills
- Proficiency in Python, TensorFlow, PyTorch, and CI/CD tooling
- Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
- Familiarity with monitoring tools such as MLflow, Prometheus, Grafana
- Working knowledge of distributed data systems (e.g., Apache Spark, Kafka)
Bonus Skills
- Experience with A/B testing, canary deployments, and serverless ML infrastructure
- Exposure to generative AI and scalable deployment of LLMs
Next Steps
- Register on the Soul AI website
- Get shortlisted by the team
- Clear screening rounds and join the expert community
- Get matched with top-tier AI projects
