ML/AI Ops Engineer

Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management. - Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code. - Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency

Experience in building Vector embeddings & RAG systems. - Familiarity in ML and LLM models development and libraries used. - Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations. - Familiarity with CI/CD pipelines (Azure DevOps preferred)

Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments. - Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference. - Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows. - A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team. Bonus Skills

Understanding ofdata quality frameworks and how they integrate into ML pipelines. - Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components. - Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial. - Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference. - Experience with AI agent tools and MCP servers. - Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices. All your information will be kept confidential. Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice. The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes. By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice. By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.