machine learning engineer for Generative AI solutions

EPAM delivers enterprise software products, open source solutions, accelerators, and AI-powered solutions across client projects and in-house product pipelines.

• Design AI-driven applications with Python frameworks such as Django, Flask, or FastAPI;
• Architect scalable cloud-based infrastructures for AI solutions;
• Deploy optimized Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Generative AI features into production-level systems;
• Translate business needs into robust AI solutions through collaboration with cross-functional teams;
• Solve complex problems across technical, infrastructural, and production environments;
• Write well-documented, high-quality code compliant with industry standards;
• Adopt emerging technologies in Python, cloud platforms, and AI practices to advance innovation in development.

• Expertise in software development with Senior- to Architect-level experience, including hands-on coding and implementation proficiency;
• Experience with Python frameworks such as Django, Flask, and FastAPI, including practical AI functionality integration;
• Proven production experience in Generative AI, prompt engineering, and model fine-tuning;
• Understanding of Large Language Models and Retrieval Augmented Generation;
• Proficiency in AWS, Azure, or Google Cloud Platform with hands-on cloud solution implementation;
• Strong problem-solving capabilities and collaborative teamwork experience;
• Excellent communication skills for articulating technical ideas to diverse audiences;
• Passion for advancing in Generative AI and contributing to organizational and client AI projects;
• Nice to have: Experience with Kubernetes, Docker, and microservices in Cloud Native architectures.

• No conditions specified