Machine Learning Engineer - Reinforcement Multi-Armed Bandits mfd
Machine Learning Engineer - Reinforcement Multi-Armed Bandits mfd
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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 cuttingedge techniquesincluding reinforcement learning multiarmed 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:
Develop and Enhance ML Solutions: Design implement and maintain productiongrade machine learning systems with a strong focus on bandit algorithms and reinforcement learning methods for dynamic pricing.
CrossFunctional Collaboration: Work closely with teams in data science engineering product management and business operations to bring experimental models into a robust production environment.
Monitoring and Analysis: Continuously track model performance visualize key metrics and conduct deepdive analyses to understand changes in system behavior and their impact on business outcomes.
Iterative Improvement: Collaborate with business stakeholders to identify inefficiencies in current processes and propose datadriven MLpowered solutions to address them.
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.
Qualifications :
YOUR SKILLS MATTER:
Foundational Experience in ML: Some background in machine learning or data science. Prior exposure to reinforcement learning multiarmed bandits Bayesian methods or dynamic pricing is a plus but not required.
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.
Production Mindset: Comfortable deploying and maintaining ML models in a production environment ensuring reliability scalability and adaptability.
GrowthOriented: Passionate about learning new methods and solving realworld 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.
Communication & Teamwork: Fluent in English and enthusiastic about working within a diverse multinational team.
Additional Information :
WHAT WE OFFER
- Generous Time Off Enjoy 28 days of vacation an additional day off for your birthday and 1 volunteer day per year
- WorkLife 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 & Wellbeing Private health insurance to support your wellbeing
- Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience
About us:
We are a leading global mobility service provider with sales of 3.07 billion and around 9000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental) SIXT share (car sharing) SIXT ride (cab driver and chauffeur services) SIXT (car subscription) and gives our customers access to our fleet of 222000 vehicles the services of 1500 cooperation partners and around 1.5 million drivers worldwide. Together with our franchise partners we are present in more than 110 countries at 2098 rental stations. At SIXT a firstclass customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and longterm stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility Apply now!
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
