machine learning engineer

Uzrailways operates as the national railway company of Uzbekistan, focusing on the development and modernization of railway infrastructure and transport services.

• Build, deploy, and scale LLM-powered applications;
• Design and implement Retrieval-Augmented Generation (RAG) systems and retrieval pipelines;
• Develop and maintain end-to-end machine learning pipelines for production;
• Build scalable data pipelines and MLOps workflows;
• Evaluate, monitor, and optimize model performance;
• Collaborate with cross-functional teams to integrate AI solutions into production systems.

• Minimum 1 year of experience in Machine Learning or AI;
• Experience building RAG applications and retrieval pipelines;
• Experience working with vector databases and embeddings;
• Solid understanding of Machine Learning and Data Science fundamentals, including model evaluation;
• Experience with FastAPI, PostgreSQL, and Postman;
• Experience with OpenAI function calling and tool orchestration;
• Experience building and maintaining scalable data pipelines and MLOps workflows;
• Nice to have: Experience fine-tuning and serving local or open-source LLMs, experience with AI model deployment and inference optimization, familiarity with Docker, Kubernetes, cloud platforms, or CI/CD pipelines.

• Competitive compensation based on experience and interview performance;
• Opportunity to work on impactful AI projects in a production environment;
• Collaborative and innovative engineering team;
• Professional growth and continuous learning opportunities.