Senior Machine Learning Engineer – Workforce Intelligence

Role Overview

As a Senior Machine Learning Engineer on our Workforce Intelligence team, you will develop state-of-the-art algorithms and optimize business operations like capacity planning using advanced ML and optimization methods. Your innovations will power solutions impacting millions of users and contribute directly to our business growth. Join our team in Pullach, near Munich, and help us shape the future of workforce management.

Key Responsibilities

• Transform data science models into scalable, production-grade, monitored, and dependable systems.
• Establish and maintain a reliable deployment infrastructure for workforce management optimization algorithms and machine learning models, adhering to MLOps best practices.
• Design, develop, and sustain ML models and optimization algorithms focused on demand forecasting, shift scheduling, and staffing efficiency.
• Work cross-functionally with Workforce Management teams to translate operational challenges into data-driven solutions.
• Build and enhance automation tools for the Data Science Tech Stack to improve MLOps pipelines including model deployment and data workflows.

Required Qualifications and Skills

• Extensive hands-on experience building and managing machine learning models and optimization solutions in production environments, with strong Python programming skills and cloud infrastructure proficiency, preferably AWS.
• Solid expertise in data engineering including data modeling, database technologies, and ETL process design.
• Practical and thoughtful application of AI-assisted development tools ensuring reliability and auditability in engineering work.
• In-depth knowledge of monitoring and logging frameworks to proactively handle operational issues in ML models and infrastructure.
• Familiarity with workforce management domains such as forecasting, capacity planning, or scheduling is a strong advantage.
• Excellent communication skills in English to collaborate effectively across teams.

Benefits and Perks

• Employee discounts across our rental, sharing, ride, and subscription platforms, plus exclusive partner offers in travel, technology, and fashion sectors.
• Monthly mobility allowance of €20 to enhance your transportation options.
• Retirement plan contributions and capital-forming benefits to secure your future.
• Access to on-site gym facilities, various leisure activities such as a gaming area and choir, and a high-quality staff restaurant to foster a positive workplace environment.
• Flexible working with hybrid models, flexible schedules, and 30 days paid vacation.
• Opportunity to volunteer one day annually to support children's charitable organizations.

About Us

We are a global leader in mobility services, generating €4 billion in revenue with around 9,000 employees worldwide. Our ONE platform unites rental, sharing, ride, and subscription services, managing 350,000 vehicles globally and partnering with 4,000 collaborators. Operating in over 110 countries through 2,000 rental stations, we pride ourselves on delivering exceptional customer experiences sustained by entrepreneurial spirit and strategic foresight.