Remote Senior Machine Learning Engineer

• Design and build robust, scalable systems that support high-volume supply chain transactions across our platform
• Define and implement AI strategies and scalable microservices that drive data mapping, transformation, and intelligent integration
• Develop and maintain RESTful and GraphQL APIs to ensure seamless communication between services and systems
• Create and optimize event-driven data pipelines to enable real-time processing, automation, and decision-making across our products
• Evaluate, select, and implement the best-fit tools and technologies to solve complex engineering and data challenges effectively
• Collaborate directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• GraphQL
• Support
• Machine Learning
• MongoDB
• Network
• NoSQL
• PostgreSQL
• PyTorch
• Python
• microservices, We are expanding and evolving our Data Platform and Data Network products and are looking for a Senior Machine Learning / Artificial Intelligence Engineer to join our Product & Engineering team. In this role, you will work closely with our Principal Data Scientist to establish practical AI solutions and scale our product capabilities, enhancing data integration across our products. Our mission is to connect people, data, and intelligence to transform processes in supply chain, manufacturing, and retail. We offer flexible working options from home, hybrid, remote, or on-site at our HQs in Tutzing, Rotterdam, or Leeds. We also provide modern offices in Germany, the Netherlands, and the UK, a personal Learning & Development budget, up to 20 days of remote work per year from any EU country, a company pension plan, 30 vacation days a year, location-specific benefits, and company-sponsored business travel. We are an equal opportunity employer committed to fostering a diverse and inclusive environment.

• 5+ years of engineering experience focused on Machine Learning, AI, and Data Science
• Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks
• Strong skills in Python development, including building microservices and working with event-driven architectures
• Proficiency in designing and consuming RESTful and GraphQL APIs
• Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development
• Experience with PostgreSQL and MongoDB or similar relational and NoSQL databases
• Solid grasp of system design, scalability, and performance optimization in ML-driven applications
• Pragmatic, test-driven approach and experience implementing CI/CD pipelines
• Ability to translate business requirements into practical technical solutions, especially in data integration for supply chain/logistics contexts
• Strong communication skills in English