Machine Learning Engineer
Actively Hiring
Full-time Posted 2 months ago
Responsibilities
- check_circle Build and surface MCP Servers and Tools using the internal MCP Gateway
- check_circle Develop APIs and service endpoints with FastAPI for MCP integrations
- check_circle Implement agent and LLM frameworks (e.g., LangChain, LangGraph) to enable sophisticated AI workflows
- check_circle Apply prompt engineering strategies and build RAG-based architecture for enhanced response accuracy
- check_circle Automate quality controls and develop evaluation systems for LLM reliability and performance
- check_circle Containerize and orchestrate AI services using Kubernetes for scalable deployment
- check_circle Collaborate cross-functionally with product, QA, and architecture teams to ensure secure, enterprise-grade solutions
- check_circle Maintain documentation for MCP integrations, testing pipelines, and workflow standards
- check_circle Integrate CI/CD practices to streamline deployment and testing processes
Basic qualifications
- Strong programming experience in Python for backend development and automation
- Expertise in REST API development using FastAPI for production-scale services
- Familiarity with Model Context Protocol (MCP) standards, server/client patterns
- Working knowledge of LLM/agent frameworks such as LangChain or LangGraph
- Understanding of containerization and orchestration tools like Kubernetes
- Ability to implement prompt engineering principles and RAG-based solutions
- Solid grasp of Agile delivery models, CI/CD workflows, and secure coding practices
- Excellent problem-solving and cross-team communication skills
Preferred qualifications
- Experience with observability and monitoring tools for AI-driven workloads
- Familiarity with vector databases for semantic search and retrieval
- Knowledge of cloud platforms (AWS, GCP, Azure) and GPU-accelerated compute
- Background designing evaluation frameworks for AI model performance
- Exposure to large-scale AI deployment in enterprise environments
- EPAM Employee Stock Purchase Plan (ESPP)
- Protection benefits including life assurance, income protection and critical illness cover
- Private medical insurance and dental care
- Employee Assistance Program
- Competitive group pension plan
- Cyclescheme, Techscheme and season ticket loans
- Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
- Learning and development opportunities including in-house training and coaching, professional certifications, and courses
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
Tags & Focus Areas
Ai Ai Engineer Machine Learning Generative Ai
About EPAM Systems
Shape the future of global data science infrastructure as a Site Reliability Engineer at EPAM. You'll architect, implement, and support cutting-edge platforms like Alteryx, Dataiku, and Azure Machine Learning that power critical business insights across wealth management, investment banking, and corporate functions.