4 machine learning engineer jobs found in Berlin

Your benefits: You work with state-of-the-art technologies. You will become part of a team of tech-savvy engineers. You will accompany the next tech unicorn in the defense sector in the development of one of the first multinational drone early warning systems. You can expect to work with a multinational, pragmatic, hands-on team with a strong focus on innovation. Work in the office in Berlin or Munich – or completely from home from anywhere in the EU. Apart from a few meetings, you work when it suits you best. 30 days of vacation. Health insurance package. Your tasks: You will become part of a 35-person team of tech-savvy sensor, IoT, and hardware engineers. Together with your colleagues, you will be responsible for the following tasks: You are developing a multi-sensor perception and fusion system for the drone early warning system. You build the backend that allows machine learning and AI...

Location Germany - Berlin Contract Full time Job Category Software Engineering - Backend THE ROLE & THE TEAM Lounge by Zalando is a rapidly growing part of Zalando, now turning over billions of euros each year. That said, there is so much untapped potential with respect to personalization and recommendation. You will be a data engineer, working alongside backend engineers and data scientists to build large-scale recommender systems. As the largest online fashion retailer in Europe, we require a skilled engineer who can design, build, and maintain Machine Learning pipelines at a global scale. You will play a key role across the entire ML lifecycle, from designing and implementing robust batch and streaming preprocessing pipelines to enabling efficient model training and distribution for our real-time recommender systems. This is a very good opportunity to build a data product that has a measurable impact on the business outcomes and the user experience....

Who Are We? Xcelirate develops technologically-advanced platforms which are accessed by thousands of users every minute! We are proud to offer a workplace where the sharpest developers come together to strategically plan and swiftly execute practices which see us maintain our existing market dominance and attain global expansion. We owe our success to our customers who have seen us grow across a decade, and our talented team who have made that growth possible. Who are we looking for? The Data Engineer will focus on designing, developing, and maintaining robust data infrastructure to support use cases such as fraud detection but also general data engineering. The position emphasizes building scalable, high-performing data pipelines and storage systems for fraud use cases. Although this role involves light integration with machine learning models, its primary responsibility is creating the technical foundation that powers such use cases of fraud detection, analytics and...

Join us as a   Working Student Data Engineer   (all genders) in our Cloud & Platform Engineering   team   and help shape the future of autonomous mobility! The Data Lake Platform team provides the secure and self-service foundation for all data at MOIA. We build and operate the central data infrastructure that enables teams to ingest, store, access, and manage data in a compliant and cost-efficient way. Our platform powers everything from product and operational metrics to large-scale unstructured data streams from autonomous driving systems. By combining automation, governance, and scalable AWS technologies, we make sure MOIA’s data is always trusted, fresh, and privacy-compliant, empowering 25+ teams to build data-driven products with full ownership of their data lifecycle. What you will do Develop data ingestion, transformation, and access layers using Apache Spark, Iceberg, and AWS services such as Lambda, and S3. Develop scalable workflow...