Machine Learning Engineer

We are looking for a Machine Learning Engineer to join our team and drive the development of a scalable machine learning framework and tooling.

You will play a key role in enabling efficient collaboration between data scientists, data engineers and cloud architects. You’ll also help build GenAI-centric tools that improve the ML lifecycle through automation, optimization and observability.

Responsibilities

• Design, build and maintain a robust framework to support machine learning projects at scale
• Act as a technical bridge between data science, engineering and cloud infrastructure teams
• Collaborate on the development and deployment of GenAI applications and agents such as LLM pipelines and image generation models
• Deploy models using containerized and serverless infrastructure such as Docker, Kubernetes and Azure Functions

Requirements

• Proven experience in MLOps and DevOps practices across the ML lifecycle
• Hands-on experience with cloud platforms, especially Azure: Azure ML, Functions, Storage
• Familiarity with Orchestration of ML pipelines and experiments with MLOps tooling such as MLflow, Vertex AI, Azure Machine Learning, Databricks Workflows and SageMaker
• Solid understanding of model deployment using Docker, Kubernetes and serverless technologies
• Strong software engineering background: Python, CI/CD, testing frameworks

Nice to have

• Experience with GenAI technologies such as Agentic workflows: LangChain, OpenAI tools, custom agents
• Working knowledge of the MCP server or similar scalable serving architectures
• Exposure to retrieval-augmented generation (RAG) or vector database integrations
• Experience working with infrastructure-as-code tools for deploying ML systems on the cloud

We offer

• Private health insurance
• EPAM Employees Stock Purchase Plan
• 100% paid sick leave
• Referral Program
• Professional certification
• Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

• Why Join EPAM
• WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
• CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
• CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
• STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.