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

Lease a Bike Deutschland GmbH; Cloppenburg; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Bike leasing subsidy

Home office equipment

Learning budget

Conference days

Remote EU work

Job summary

Bike Mobility Services GmbH is hiring a Senior Machine Learning & AI Engineer to build ML and agent solutions on AWS and Snowflake, shaping the AI foundation of a growing team.

You will lead predictive models, generative AI workflows, and MLOps, collaborating with data engineers and stakeholders across the business. Remote from the EU with a strong emphasis on responsible AI and ethics.

Qualifications

• 5+ years in Data Science, ML or AI Engineering with a production project.
• Strong Python and SQL skills; solid ML model evaluation.
• Experience deploying ML on AWS and Snowflake or similar.
• Practical know-how with RAG, agents and AI tooling.
• Ability to defend design decisions and communicate with non-technical stakeholders.

Responsibilities

• Build predictive ML models for lead gen, demand, residuals, and fraud.
• Design agent-based workflows and RAG pipelines for customer service.
• Develop and run ML pipelines on AWS/Snowflake with MLOps practices.
• Collaborate with data engineers and stakeholders to deliver end-to-end solutions.
• Mentor junior team members and shape engineering standards.

Skills

5+ years of experience in Data Science

Python

SQL

ML fundamentals

Production on AWS

Generative AI & Agents

Ownership & communication

Tools

AWS SageMaker

Snowflake

Docker

MLflow

GitHub Copilot

Job description

Rethink How a Bike Leasing Company Works - With AI at the Core

Do you want to redesign how a company runs with AI, from how we find customers to how we manage residual values and answer service requests? Do you enjoy moving between classic ML and LLM agents, and want to shape an AI team in an environment where your decisions stick?

We are looking for a Senior Machine Learning & AI Engineer (m/f/d) to build ML and agent solutions on AWS and Snowflake and to set the technical foundation of a growing AI team.

Who are we?

Bike Mobility Services GmbH, a subsidiary of the Dutch company Pon.Bike, is part of a group that owns international brands like Kalkhoff, Cervélo, Urban Arrow, Cannondale, Santa Cruz, Focus, and Royal Dutch Gazelle. Our mission is to get as many employees as possible onto bikes for their commute, through our digital Lease a Bike portal. Data already drives how we steer our portfolio, manage residual values, and find new customers.

Your Mission

You will take a business process, understand where the potential lies, and rebuild it with AI: predictive models where decisions need numbers, agents where people spend their day on repetitive work.

Core Responsibilities:

• Predictive ML: Build models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection.
• Agents & Generative AI: Redesign workflows in customer service and other teams with RAG and agent-based solutions, integrated securely into our systems and evaluated for output quality.
• MLOps / LLMOps: Build and run ML pipelines on AWS and Snowflake. Monitor performance, drift, and cost, and decide when a model needs retraining or should be retired.
• Business Partnership: Turn business needs into measurable use cases together with stakeholders and the data engineering team, and own delivery end to end.
• Team Building: Evaluate new models and frameworks, shape shared standards and tooling, and mentor more junior colleagues as the team grows.

Across all of this, you keep responsible AI in view: data privacy, bias, and explainability.

What You Bring

Must-Haves:

• Experience: 5+ years in Data Science, Machine Learning, or AI Engineering, with at least one solution you took into production and ran there. You are strong in either predictive ML or LLM applications, with hands-on experience in the other.
• Python, SQL & ML Fundamentals: Very good Python and SQL, ML frameworks like scikit-learn or PyTorch, and sound experiment design and model evaluation.
• Production on AWS: Deploying and operating ML solutions on AWS (e.g. SageMaker, MLflow, Docker, CI/CD), with Snowflake or a comparable data platform.
• Generative AI & Agents: Practical experience with RAG, tool calling, and agentic workflows, including how to evaluate LLM output quality, and daily use of AI coding tools like Claude Code or GitHub Copilot.
• Ownership: You make design decisions you can defend, guide other engineers, explain trade-offs to non-technical colleagues, and are fluent in English.

Nice-to-Haves:

• Process Redesign: Experience rebuilding a business process with AI together with the teams who run it.
• Leasing Domain: Experience with leasing, subscription, or other asset-based businesses.
• Languages: Conversational German or Dutch.

Why Join?

• Business Impact: Your work ends up in processes people use every day, with direct access to the teams who run them.
• Early-Stage AI Team: Shape how the team builds, what it uses, and which problems it takes on first.
• AI-Native Engineering: AI coding tools and agents in your daily workflow, and time to test new models and frameworks against real use cases.
• Bike Leasing & Home Office: We subsidize your bike lease and bike purchase, and we equip your home office so you can work comfortably.
• Learning: You get a learning budget and conference days to grow where you want.
• 100% Remote: You work from anywhere in the EU, and we meet regularly as a team in one of our operating countries, so you get to know the people behind the use cases.