Lead ML/AI Platform Engineer (EU, EMEA Remote)

Job summary

Lead ML/AI Platform Engineer responsible for transitioning machine learning from experiment to production, including training infrastructure and model serving. Collaborate with the Data Platform Architect to set technical direction for AI/ML and drive the engineering side of the GenAI/LLM strategy.

Qualifications

• 8+ years in software or ML engineering, including 5+ years shipping production ML systems
• Demonstrated technical leadership
• Hands-on experience with operating models
• Deep working knowledge of AWS stack
• Production experience with GenAI/LLMs
• Familiarity with vector databases
• Working knowledge of Java
• Deep expertise in Python and core ML stack
• Solid MLOps fundamentals
• Excellent written and verbal communication
• Strong collaboration skills
• Ability to operate as an independent contractor

Responsibilities

• Partner with Data Platform Architect to set technical direction for AI/ML
• Own the ML/AI platform: training infrastructure, model serving, inference pipelines
• Feature engineering, model training, model registry, hosted inference in Amazon SageMaker
• GenAI/LLM usage, fine-tuning, agentic workflows in Amazon Bedrock and AgentCore
• Build feedback and data pipelines using AWS Glue, Lambda, Step Functions
• Integrate ML services with Java microservices
• Drive engineering side of GenAI/LLM strategy
• Provide depth on emerging agent stack
• Collaborate with Data Scientist on experimentation to production handoff
• Identify high-impact ML opportunities with product, data, and engineering leadership
• Represent AI/ML function in cross-functional forums

Skills

Relocation