Machine Learning Engineer, Madrid

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. Youll 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 Machine Learning, GenAI, MLflow, LangChain, OpenAI