ML инженер

EPAM Systems is a global provider of digital engineering, cloud, and AI-enabled transformation services, as well as digital product design and consulting. The company supports a diverse team of professionals across more than 55 countries, focusing on delivering high-quality software solutions and strategic business transformation for clients in various industries.

• Design and implement LLM-based entity and relationship extraction workflows;
• Develop prompt templates and orchestration logic for Graph RAG;
• Build evaluation frameworks for precision/recall tracking and gold set validation;
• Implement human-in-the-loop review workflows;
• Optimize LLM usage for cost and performance;
• Collaborate with cross-functional teams to align platform features with business goals;
• Integrate vector embeddings and similarity search into platform architecture;
• Ensure robust API development using REST or GraphQL;
• Oversee ETL pipeline development for data ingestion and transformation.

• 4+ Years of experience in ML/AI engineering;
• Hands-on experience with LLM APIs such as OpenAI, Anthropic or AWS Bedrock;
• Strong prompt engineering and LLM orchestration skills;
• Proficiency in Python ML frameworks;
• Skills in embedding models and vector similarity search;
• Knowledge of AWS services including Neptune, Bedrock, OpenSearch, S3 or Lambda;
• Experience with Infrastructure-as-Code using Terraform or CloudFormation;
• Competency in CI/CD automation and Git-based version control;
• Familiarity with Agile or Scrum project management methodologies;
• Nice to have: Experience building RAG (Retrieval-Augmented Generation) systems, knowledge of graph neural networks or knowledge graph embeddings, background in NLP or information extraction, familiarity with LangChain, LlamaIndex or similar frameworks.

• Flexible schedule;
• Necessary equipment provided;
• Opportunity to change projects and technology stacks;
• Access to professional growth programs, including internal training, certification in AWS, GCP, or Azure, and corporate learning platforms;
• Vacation and sick leave;
• Voluntary Medical Insurance programs for employees and family members;
• Support during significant life events and mental health services;
• E-kids programming training program for children;
• Relocation support is available for eligible candidates.