Senior Machine Learning Engineer (m/f/d)

SIXT; München; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading global mobility service provider is seeking a Senior Machine Learning Engineer to develop cutting-edge models for price optimization. You will collaborate closely with data scientists and engineers to deploy robust ML pipelines that directly influence pricing strategies, optimizing customer experiences across Europe.

Leistungen

30 days of vacation

Flexible working hours

Employee restaurant

Gym and recreational activities

Mobility allowance

Qualifikationen

• Experience in building, deploying, and maintaining ML models.
• Proficient in Python and popular ML frameworks.
• Familiarity with cloud platforms like AWS and big data technologies.

Aufgaben

• Collaborate with data scientists to deploy and optimize ML models.
• Design and maintain robust ML pipelines for price optimization.
• Monitor performance and tune models in response to market changes.

Kenntnisse

Machine Learning

Python

Cloud Platforms

Problem-Solving

Ausbildung

Bachelor's or Master's Degree in Computer Science or related fields

Tools

TensorFlow

PyTorch

Scikit-learn

MLflow

Airflow

Jobbeschreibung

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Join to apply for the Senior Machine Learning Engineer (m/f/d) role at SIXT

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Join our team of machine learning experts at SIXT to develop and implement cutting-edge models specifically tailored for price optimization! As Machine Learning Engineer (m/f/d) in the department of Revenue Management & Price Optimization you will work closely with data scientists to deploy low latency services in production with the objective to infer customer willingness to pay and optimize bid pricing, leveraging theories of opportunity cost. Your work will directly influence pricing strategies for millions of customers.



YOUR ROLE AT SIXT

• Model Deployment and Optimization: You collaborate with data scientists to deploy and optimize machine learning models focused on price optimization ranging from an array of techniques, including and not limited to Neural Networks, Gradient Boosting methods, Genetic Algorithms, Linear Programming, and Time Series Forecasting
• Build and Maintain ML Pipelines: You design, develop, and maintain robust pipelines specifically for deploying and scaling machine learning models that drive dynamic pricing strategies. Ensure these pipelines are scalable, reliable, and seamlessly integrated with the company's existing systems
• Cross-Functional Collaboration: Youwork closely with data scientists, product managers, and software engineers to transform experimental models into operational systems that effectively drive pricing optimization and enhance business outcomes
• Monitoring and Performance Tuning: You continuously monitor deployed models for performance and accuracy. Implement feedback loops and conduct regular updates to refine models in response to market changes and business needs
• Scalability and Automation: You automate tasks and build infrastructure capable of handling large-scale data processing and complex model serving, ensuring systems are scalable and capable of executing real-time pricing adjustments
• Knowledge Sharing: You document best practices and deployment workflows related to price optimization. Share technical insights and model impacts with both technical and non-technical stakeholders to foster understanding and drive strategic decisions
  
  
  

YOUR SKILLS MATTER

• Strong Foundations in Machine Learning Engineering: Experience in building, deploying, and maintaining ML models in production environments
• Proficiency in Python and ML Frameworks: Skilled in production-oriented machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Experience with ML Pipeline Tools: Familiarity with tools like MLflow and Airflow for managing machine learning workflows
• Understanding of Causal Inference Models: Knowledge of A/B testing, difference-in-differences, propensity score matching, and double machine learning, as they relate to pricing
• Cloud and Big Data Experience: Hands-on experience with cloud platforms (AWS) and big data technologies like Spark, Dask, or Polars
• Collaboration and Communication Skills: Ability to work effectively with cross-functional teams, understanding modeling requirements, and translating them into scalable engineering solutions.
• Problem-Solving Mindset: Proactive approach and a passion for solving complex pricing challenges through advanced engineering solutions
  
  
  

WHAT WE OFFER

• Work-life balanceEnjoy 30 days of vacation and up to 50% remote work, including up to 30 days per year in European countries (EU, CH & UK), as well as flexible working hours
• Office PerksStay active and healthy with our modern SIXT Gym, and various recreational activities, including a gaming area and the SIXT choir. Plus, enjoy our premium employee restaurant, offering more than just the standard canteen
• Support for Community EngagementTake a day each year to volunteer with the ""Drying Little Tears"" children's aid foundation, an initiative of Regine Sixt
• Great Employee BenefitsBenefit from discounts on SIXT rent, share, ride, and SIXT+ services, car leasing offers, and special deals with partners on travel, tech, clothing, and more
• Mobility allowanceWe support you with a mobility allowance of 20€ per month
• Enhance your futureSupport with your retirement planning and capital-forming benefits
  
  
  

About us:

We are a leading global mobility service provider with sales of €3.07 billion and around 9,000 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 222,000 vehicles, the services of 1,500 cooperation partners and around 1.5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,098 rental stations. At SIXT, a first-class customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and long-term stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility? Apply now!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Travel Arrangements

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