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 PipelinesBuild and maintain CI / CD workflows with GitHub Actions, Jenkins, GitLab CI / CDAutomate full ML pipelines for feature engineering, model retraining, and deploymentScale ML models using Docker, Kubernetes, and AirflowEnsure observability, security, and cost optimization in AWS, GCP, or Azure environmentsMust-Have Skills
Proficiency in Python, TensorFlow, PyTorch, and CI / CD toolingExperience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)Familiarity with monitoring tools such as MLflow, Prometheus, GrafanaWorking knowledge of distributed data systems (e.g., Apache Spark, Kafka)Bonus Skills
Experience with A / B testing, canary deployments, and serverless ML infrastructureExposure to generative AI and scalable deployment of LLMsNext Steps
Register on the Soul AI websiteGet shortlisted by the teamClear screening rounds and join the expert communityGet matched with top-tier AI projectsSkills Required
Tutoring, Teaching, Civil Eng