ML Engineer Reinforcement Multi-Armed Bandits| Offer intelligence (m/f/d)
ML Engineer Reinforcement Multi-Armed Bandits| Offer intelligence (m/f/d)
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Job Description
Join our team of data science and machine learning experts to shape the next generation of intelligent pricing strategies. Our mission is to apply cutting-edge techniquesincluding reinforcement learning multi-armed bandits and Bayesian inferenceto optimize dynamic pricing decisions. We build scalable models and systems that directly impact millions of customers enabling more efficient revenue management processes and a superior user experience.
YOUR ROLE AT SIXT
- You will develop and Enhance ML Solutions: Design implement and maintain production-grade machine learning systems with a strong focus on bandit algorithms and reinforcement learning methods for dynamic pricing.
- You will have Cross-Functional Collaboration: Work closely with teams in data science engineering product management and business operations to bring experimental models into a robust production environment.
- You will be on Monitoring and Analysis: Continuously track model performance visualize key metrics and conduct deep-dive analyses to understand changes in system behavior and their impact on business outcomes.
- You will be on Iterative Improvement: Collaborate with business stakeholders to identify inefficiencies in current processes and propose data-driven ML-powered solutions to address them.
- You will have Knowledge Sharing: Communicate results methodologies and technical insights to audiences of varying technical backgrounds ensuring that both business and technical teams understand the value of your work.
YOUR SKILLS MATTER
- You have Foundational Experience in ML: Some background in machine learning or data science. Prior exposure to reinforcement learning multi-armed bandits Bayesian methods or dynamic pricing is a plus but not required.
- Your Technical Skills: Proficiency in Python and familiarity with modern ML frameworks (e.g. TensorFlow PyTorch). Experience with cloud platforms (AWS GCP or Azure) is beneficial.
- You have Production Mindset: Comfortable deploying and maintaining ML models in a production environment ensuring reliability scalability and adaptability.
- You are Growth-Oriented: Passionate about learning new methods and solving real-world problems. Even if you dont have all the experience listed we encourage you to apply if youre excited about bandit algorithms dynamic pricing and advanced ML techniques.
- Your Communication & Teamwork: Fluent in English and enthusiastic about working within a diverse multinational team.
WHAT WE OFFER
- Generous Time Off Enjoy 28 days of vacation an additional day off for your birthday and 1 volunteer day per year
- Work-Life Balance & Flexibility Benefit from a hybrid working model flexible working hours and no dress code
- Great Employee Benefits Access discounts on SIXT rent share ride and SIXT along with partner discounts
- Training & Development Participate in training programs external conferences and internal dev & tech talks designed for your personal growth and development
- Health & Well-being Private health insurance to support your well-being
- Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience
Additional Information :
About us:
We are a globally leading mobility service provider with a revenue of 4.00 billion and around 9000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental) SIXT share (car sharing) SIXT ride (taxi ride and chauffeur services) and SIXT (car subscription) giving our customers access to our fleet of 350000 vehicles the services of 4000 cooperation partners and around 5 million drivers worldwide. Together with our franchise partners we are present in more than 110 countries at 2000 rental stations. At SIXT top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
