Senior Machine Learning, AI Engineer

Lease a Bike | Deutschland

. Build predictive models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection .

Posted 10/26/2026full-timeRemote • GermanySenior💰 €95,000 - €105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating predictive models and machine learning pipelines, with a strong focus on integrating AI solutions securely into systems. Proficient in evaluating model performance and addressing responsible AI concerns, while effectively translating business needs into actionable use cases.

Highest-signal resume keywords

Predictive Machine LearningPython ProgrammingAWS DeploymentML Frameworks (Scikit-Learn, PyTorch)Model Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData SciencePredictive ModelingSQLModel EvaluationExperiment DesignAI Solutions IntegrationGenerative AIRAG WorkflowsPortfolio Steering

Soft Skills

MentoringCommunicationDecision-MakingStakeholder EngagementGuidance

Tools & Technologies

AWS SageMakerMLflowDockerCI/CDSnowflakeClaude CodeGitHub Copilot

Industry Keywords

Lead GenerationDemand ForecastingFraud DetectionData PrivacyBiasExplainabilityAsset-Based Businesses

Tech Stack

Tools & technologies

AWSDockerPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

Build predictive 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 generative AI solutions
Integrate AI solutions securely into company systems
Evaluate generative AI output quality
Build and operate ML pipelines on AWS and Snowflake
Monitor model performance, drift, and cost; determine when models require retraining or retirement
Translate business needs into measurable use cases with stakeholders and the data engineering team
Own delivery end to end
Evaluate new models and frameworks
Establish shared standards and tooling
Mentor junior colleagues as the AI team grows
Address responsible AI concerns including data privacy, bias, and explainability

Requirements

What you’ll need

5+ years in Data Science, Machine Learning, or AI Engineering
At least one solution taken into production and operated there
Strong in either predictive ML or LLM applications, with hands-on experience in the other
Very good Python and SQL
Experience with ML frameworks such as scikit-learn or PyTorch
Sound experiment design and model evaluation
Experience deploying and operating ML solutions on AWS, including 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
Experience evaluating LLM output quality
Daily use of AI coding tools such as Claude Code or GitHub Copilot
Ability to make and defend design decisions
Ability to guide other engineers and explain trade-offs to non-technical colleagues
Fluent English
Conversational German or Dutch is a nice-to-have
Experience with process redesign, leasing, subscription, or other asset-based businesses is a nice-to-have

Benefits

Comp & perks

Bike lease and bike purchase subsidy
Home office equipment
Learning budget
Conference days
100% remote work from anywhere in the EU
Regular team meetings in one of the operating countries