machine learning engineer for AI-driven applications

EPAM develops enterprise software products, open source solutions, and accelerators.

• Facilitate the development and deployment of cloud-native solutions with AI integration;
• Architect and launch AI-driven applications using Python frameworks such as Django, Flask, or FastAPI;
• Integrate Large Language Models (LLM) and Retrieval Augmented Generation (RAG) into ongoing and upcoming projects;
• Collaborate with cross-functional teams to understand project objectives and translate them into AI-driven technical solutions;
• Implement AI-based features and functionalities using cloud-native architectures and industry-standard practices;
• Write maintainable and well-documented code in accordance with coding standards and best practices;
• Stay updated on advancements in Python, cloud computing, AI, and Cloud Native architectures, and suggest innovative solutions.

• Proven expertise in Python programming with significant experience in AI integration;
• Proficiency in cloud computing with hands-on experience in major cloud platforms such as AWS, Azure, or Google Cloud Platform;
• Familiarity with Large Language Models (LLM) and Retrieval Augmented Generation (RAG);
• Strong problem-solving abilities and effective collaboration skills;
• Superior communication skills and the ability to explain complex technical concepts to non-technical stakeholders;
• Nice to have: Knowledge of Cloud Native architectures, Kubernetes, Docker, and microservices.

• Office location: Kyrgyzstan.