Machine Learning Engineer

Quick Facts

• Role: Machine Learning Engineer (AI Engineering Team)
• Focus: Generative AI, LLM, RAG in production systems

Description

Design and implement production-grade AI/ML solutions based on Generative AI, LLMs, and RAG. Build AI/ML systems and pipelines, prototype and deploy new solutions, and optimize model quality, performance, and scalability. Collaborate with technical and business teams to deliver end-to-end AI capabilities.

Responsibilities

• Design and implement GenAI, LLM, and RAG-based solutions
• Build and evolve production AI/ML systems
• Create pipelines and integrations for AI solutions
• Prototype and deploy new AI solutions
• Optimize quality, performance, and scalability of AI systems
• Collaborate with technical and business teams

Requirements

• 5+ years of experience in Machine Learning/AI
• Very strong Python skills
• Practical experience with Generative AI, LLMs, and RAG
• Experience building and deploying production AI/ML solutions
• Knowledge of AWS or Azure
• Understanding of end-to-end AI system architecture and operation
• Ability to independently design and implement AI solutions

Benefits

• B2B contract cooperation
• Opportunity to work remotely
• Professional recruitment process with feedback regardless of the outcome