Machine Learning Engineer
Machine Learning Engineer
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Job Description
Join our team of machine learning experts to bring cuttingedge causal inference models and algorithms into production at scale. Collaborate closely with data scientists to deploy optimize and maintain models that drive performance marketing portfolio optimization and largescale ad automation. You will build robust and scalable pipelines ensuring these advanced solutions deliver actionable insights and measurable impact in realworld applications.
YOUR ROLE AT SIXT
Model Deployment and Optimization: Work with data scientists to implement and deploy causal inference models for online marketing optimization and automation including A/B testing differenceindifferences propensity score matching and double machine learningin production environments.
Build and Maintain ML Pipelines: Design develop and maintain endtoend pipelines for deploying machine learning models ensuring scalability reliability and seamless integration with existing systems.
CrossFunctional Collaboration: Collaborate with data scientists product managers and software engineers to transform experimental models into fully operational systems that drive business outcomes.
Monitoring and Performance Tuning: Continuously monitor deployed models for performance latency and accuracy. Implement feedback loops and conduct regular updates to improve and adapt models to changing business needs.
Scalability and Automation: Automate repetitive tasks and build scalable infrastructure to handle largescale data and highthroughput model serving.
Knowledge Sharing: Document best practices and deployment workflows. Communicate technical implementation details and insights to technical and nontechnical stakeholders to foster collaboration and understanding.
YOUR SKILLS MATTER
Strong Foundations in Machine Learning Engineering: Experience in building deploying and maintaining ML models in production with a focus on ensuring robustness and scalability.
Proficiency in Python and productionoriented ML frameworks (e.g. TensorFlow PyTorch Scikitlearn).
Experience with ML pipeline tools like MLflow Airflow.
Strong understanding of REST APIs microservices architecture and containerization tools like Docker and Kubernetes.
Familiarity with causal inference models and techniques including A/B testing differenceindifferences and propensity score matching is a plus.
Cloud and Big Data Experience: Handson experience with cloud platforms (AWS) and their ML/AI services.
Knowledge of distributed systems and big data technologies such as Spark Dask or Polars as well as multiprocessing techniques for efficient offline learning and batch processing.
Collaboration and Communication Skills: Ability to work closely with data scientists to understand modeling requirements and translate them into scalable engineering solutions. Clear communication of technical concepts to crossfunctional teams.
ProblemSolving Mindset: Proactive and growthoriented with a passion for addressing realworld problems through advanced engineering solutions.
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
Additional Information :
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
Remote
