MLOps/LLMOps Engineer
Social Health Insurance Fund
1,500,000 to 2,000,000 KZT Gross per month
Astana, office
The Social Health Insurance Fund finances healthcare under Kazakhstan's public and mandatory insurance systems and is building secure AI services, including internal assistants and RAG.
Responsibilities:
•Build secure end-to-end MLOps pipelines for data, model training, deployment, monitoring, and retraining.
•Deploy and monitor LLM services and RAG solutions, including inference infrastructure, document indexing, and vector databases.
•Establish CI/CD for models and AI services; safeguard sensitive data with access controls and audit logging.
Requirements:
•2–3+ years in MLOps, LLMOps, DevOps, ML, or Data Engineering; strong Python and API development skills.
•Hands-on Docker, Kubernetes, Git, and CI/CD experience; ML lifecycle understanding.
•Practical experience with LLMs, RAG, embeddings, and vector databases.
•Knowledge of security, observability, and reliable system design.
