Senior Machine Learning & AI Engineer (m/f/d)

Lease a Bike Deutschland

16h • Remote

About The Position

Bike Mobility Services GmbH is seeking a Senior Machine Learning & AI Engineer to build machine-learning and agent-based solutions on AWS and Snowflake and establish the technical foundation of a growing AI team. The role focuses on understanding business processes and redesigning them with AI, using predictive models for decisions that require numerical forecasts and agents for repetitive work.

The engineer will develop predictive solutions for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection. They will also redesign workflows in customer service and other teams using retrieval-augmented generation (RAG) and agent-based solutions, integrating them securely into company systems and evaluating output quality.

The role includes building and operating ML pipelines, monitoring model performance, drift, and cost, and deciding when models should be retrained or retired. The engineer will partner with business stakeholders and the data engineering team to turn needs into measurable use cases and own delivery end to end. They will also evaluate models and frameworks, shape shared standards and tooling, and mentor junior colleagues as the team grows. Responsible AI considerations—including data privacy, bias, and explainability—are part of the work.

Bike Mobility Services GmbH is a subsidiary of Pon.Bike and operates the digital Lease a Bike portal, with a mission to help more employees commute by bike.

Requirements

• At least 5 years of experience in Data Science, Machine Learning, or AI Engineering.
• Experience taking at least one solution into production and operating it there.
• Strong skills in either predictive ML or LLM applications, with hands-on experience in the other.
• Very good Python and SQL skills.
• Experience with ML frameworks such as scikit-learn or PyTorch, and sound experiment design and model evaluation.
• Experience deploying and operating ML solutions on AWS, using tools such as SageMaker, MLflow, Docker, and CI/CD.
• Experience with Snowflake or a comparable data platform.
• Practical experience with RAG, tool calling, and agentic workflows, including evaluating LLM output quality.
• Daily use of AI coding tools such as Claude Code or GitHub Copilot.
• Ability to make and explain defensible design decisions, guide other engineers, and communicate trade-offs to non-technical colleagues.
• Fluency in English.

Nice To Haves

• Experience rebuilding a business process with AI in collaboration with the teams who operate it.
• Experience in leasing, subscription, or other asset-based businesses.
• Conversational German or Dutch.

Responsibilities

• Build predictive ML models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection.
• Redesign customer service and other workflows using RAG and agent-based solutions, integrating them securely and evaluating output quality.
• Build and operate ML pipelines on AWS and Snowflake.
• Monitor model performance, drift, and cost, and determine when models should be retrained or retired.
• Work with business stakeholders and the data engineering team to turn business needs into measurable use cases and own delivery end to end.
• Evaluate models and frameworks and shape shared standards and tooling.
• Mentor more junior colleagues as the team grows.
• Keep data privacy, bias, and explainability in view when developing AI solutions.

Benefits

• Subsidized bike leasing and bike purchases.
• Home-office equipment.
• Learning budget and conference days.
• Work remotely from anywhere in the EU, with regular team meetings in one of the operating countries.
• Opportunity to shape the early-stage AI team, its practices, tools, and initial focus areas.
• Time to test new models and frameworks against real use cases.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed