ML Ops Engineer

About Soul AI Pods Deccan AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from top tier institutes like IITs, NITs, and BITS. We're hiring for our client servicing arm Soul AI. Soul AI has a talent network, known as Soul AI Pods, under which highly skilled & vetted tech talent gets the opportunity to work with top-tier global tech companies. Our client list includes tech giants like Google & Snowflake. Read more about here Responsibilities Design and build end-to-end ML pipelines for training, validation, deployment, and monitoring Set up CI/CD workflows for machine learning models using tools like GitHub Actions, Jenkins, or GitLab Manage containerized deployments using Docker and orchestration via Kubernetes or cloud-native tools Integrate model versioning, experiment tracking , and reproducibility tools (e.g., MLflow, DVC, Weights & Biases) Implement monitoring and alerting for data drift, model performance, and inference anomalies Collaborate with ML engineers, data scientists, and backend teams to move models into production Required Skills Hands-on with Docker, Kubernetes, Terraform, and cloud platforms (AWS/GCP/Azure) Experience building CI/CD pipelines and following GitOps best practices Familiarity with MLflow, Kubeflow, SageMaker, or Vertex AI for managing ML workflows Strong grasp of model lifecycle: versioning, rollback, and feature store integration Ability to deploy ML models via REST/gRPC services; working knowledge of Python and ML libraries Bonus: exposure to Kafka/Spark, GPU optimization, and secure ML deployment practices Application & Other Details To apply, fill the Soul AI Pods Interest Form You will be invited for selection process R1: Test, R2: AI Interview, R3: 1:1 Interview We are hiring for full-time or long Contract (40 hrs/week) hybrid roles We are hiring across different seniority levels You will work on a key client project (Top-tier tech consulting firm)