ml engineer for risk assessment

EPAM develops enterprise software products, open source solutions, and accelerators. The company is developing an AI-powered Risk Map solution that reduces manual assessment effort from approximately 30 hours to 8 hours.

• Develop the system based on the architecture and scope established during the Discovery phase;
• Refine prompt quality, AI workflows, and overall solution performance;
• Boost the accuracy, consistency, and reliability of AI-generated outputs;
• Deploy new AI capabilities in line with the solution architecture;
• Assist with integrating AI capabilities into the existing platform;
• Work closely with the AI Architect and Lead Engineer;
• Contribute to testing, validation, and continuous improvement of AI solutions;
• Resolve AI-related issues and suggest improvements;
• Record implementation details and technical recommendations.

• 3+ Years of experience as an AI Engineer or Software Engineer delivering AI solutions;
• Hands-on experience with LLMs, Generative AI, and Prompt Engineering;
• Proficiency in Claude or comparable enterprise LLM platforms;
• Familiarity with Claude Skills or similar reusable AI capability frameworks;
• Understanding of AI evaluation, prompt optimization, and AI quality improvement;
• Strong analytical and problem-solving abilities;
• Effective communication and collaboration skills;
• English proficiency at Upper-Intermediate level (B2) or higher;
• Nice to have: practical experience with Python, AWS cloud services and Amazon Bedrock, embedding AI solutions within enterprise applications, AI guardrails, structured outputs and evaluation methods, insurance, risk management, financial services or enterprise automation experience.

• Remote work is available in Georgia and 4 other locations.