3 machine learning jobs found in Berlin

Berlin based - m/f/d - full time What we do at Plato Plato is building the digital backbone of the global trade economy. Starting with the $53T wholesale industry, we empower the modern wholesaler to connect their people and data in a single analytics and workflow hub. By leveraging data science and AI we automate workflows and combat labor shortage making SMB wholesalers competitive with large corporations. Why we do what we do The future of wholesale is data-driven.   Unlike popular opinion, Industrial SMEs are ready to take the step to become more proactive in their processes but lack the technology to steer them to success. Our founders come from a wholesale family and gathered a rock star team of ex-Big Tech, VC and top tier consulting companies to reshape the operations of this $48tn industry. Our initial product leverages cutting-edge data science to provide customized demand forecasts and product recommendations combined with intelligent workflow...

Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners across the globe. About this role As a Data Science Manager for the Logistics online world, you will be responsible for developing well-engineered, robust, and high-quality data-driven solutions and platforms that drive optimization and strategic insights for our global logistics business. You will play a key role in shaping the vision and execution of data science initiatives, ensuring alignment with business needs and strategy. Location: Berlin, London, or Amsterdam Reporting to: Leadership team of the Product Logistics Data & Analytics team These...

Location Berlin Remuneration Pay group 14 TV EntgO-DRV (64,939.90-92,560.73 euros) Entry date March 6, 2026 occupation Part-time (permanent), Full-time (permanent) Application deadline April 3, 2026 Tender number 11-026-2026 Tasks Responsible conceptualization, development and implementation of data science applications with a focus on GenAI and LLMs in cross-functional teams Performing complex modeling tasks in the field of machine learning (for example, Random Forest, Gradient Boosting) and in the context of Large Language Models (LLMs) and their fine-tuning. Visualizing and analyzing large datasets to detect bias or data drift and to ensure data quality Conception, development and validation of highly complex machine learning and statistical models for demanding applications Evaluation and implementation of new state-of-the-art algorithms and technologies, including deep learning...