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Software Development
Machine Learning Engineer
@SIXT
[Hiring] Machine Learning Engineer @SIXT
Mar 26, 2025 - SIXT is hiring a remote Machine Learning Engineer. 💸 Salary: unspecified. 📍Location: Portugal.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
Join our team of machine learning experts to bring cutting-edge 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 large-scale ad automation. You will build robust and scalable pipelines, ensuring these advanced solutions deliver actionable insights and measurable impact in real-world applications.
- 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, difference-in-differences, propensity score matching, and double machine learning — in production environments.
- Build and Maintain ML Pipelines: Design, develop, and maintain end-to-end pipelines for deploying machine learning models, ensuring scalability, reliability, and seamless integration with existing systems.
- Cross-Functional 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 large-scale data and high-throughput model serving.
- Knowledge Sharing: Document best practices and deployment workflows. Communicate technical implementation details and insights to technical and non-technical stakeholders to foster collaboration and understanding.
Qualifications
- 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 production-oriented ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- 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, difference-in-differences, and propensity score matching, is a plus.
- Cloud and Big Data Experience: Hands-on experience with cloud platforms (AWS) and their ML/AI services.
- Knowledgeable of distributed systems and big data technologies, such as Spark, Dask, or Polars, as well as multi-processing 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 cross-functional teams.
- Problem-Solving Mindset: Proactive and growth-oriented, with a passion for addressing real-world problems through advanced engineering solutions.
Benefits
- 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.
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| 📍 | Be aware of the location restriction for this remote position: Portugal |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
unspecified
|
Remote
Location
Portugal
|
|
Job Type
full-time
|
Posted
Mar 26, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: Portugal |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
