КазахстанSocial Health Insurance Fund
MLOps/LLMOps Engineer
12 ч. назад
1.5M–2M KZT / мес.КазахстанMiddleOnsite
pythonapi developmentdockerkubernetesgitci/cdllmsretrieval-augmented generation
The Social Health Insurance Fund in Kazakhstan is building secure AI services including internal assistants and Retrieval-Augmented Generation (RAG). The role involves building and maintaining MLOps pipelines, deploying and monitoring LLM services, and ensuring secure and reliable AI infrastructure.
About the company
- 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.