Senior Machine Learning Engineer, f/m/x

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October 14

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4screen

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Automotive • Marketing • SaaS

4screen is a platform that connects drivers with businesses through in-car communication. It enables real-time interaction between drivers and their surroundings, offering services such as branded communication and marketing directly on car screens. Companies and mobility providers can leverage 4screen to enhance the driving experience and engage customers through targeted and personalized offers.

51 - 200 employees

☁️ SaaS

💰 $100k Grant on 2023-05

📋 Description

• Analyze large-scale mobility and behavioral datasets to identify patterns and build predictive models. • Design, train, and deploy machine learning models focusing on scalability and robustness. • Explore advanced algorithms to solve challenges such as driver segmentation and demand forecasting. • Work with MLOps best practices to ensure deployment and monitoring of models. • Collaborate with data engineers, backend developers, and product teams to translate business needs into AI solutions. • Mentor colleagues and share knowledge on algorithms and best practices.

🎯 Requirements

• Degree in Computer Science, Data Science, Mathematics, or a related field – or equivalent practical experience. • 5+ years of professional experience in Machine Learning, Data Science, or Applied Research, including deploying models into production environments. • Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch. • Solid understanding of algorithms, statistics, and model evaluation techniques, including handling imbalanced datasets and high-dimensional data. • Experience with large-scale data processing (e.g. Spark, Databricks) and working with both SQL and NoSQL databases. • Hands-on experience with MLOps tools and cloud environments (Azure, GCP or AWS), including containerization and orchestration. • Ability to balance research-driven exploration with pragmatic, production-ready solutions. • Strong communication skills to explain complex technical concepts to non-technical stakeholders. • A proactive mindset with a passion for exploring new algorithms, methods, and real-world applications of AI. • Fluency in English (German is a plus).

🏖️ Benefits

• 30 days of annual leave (+ public holidays) • Workation benefit • Egym Wellpass membership • Bike leasing through BusinessBike • Flexible working hours policy • Regular Team Events & Offsites, Pizza Nights, Game Nights