Are you passionate about using AI to solve real-world challenges? Join a pioneering team dedicated to revolutionizing sustainability through cutting-edge technology. In this role, you won’t just work on projects—you’ll drive innovation that makes a global impact.
Location: Flexible hybrid work with a modern office in Bremen, Germany.
Your Mission: As a Senior Machine Learning Engineer, you’ll play a key role in developing and deploying advanced AI solutions. Your expertise will set new standards in AI-driven technologies, particularly in computer vision and time series analysis. This is an opportunity to lead complex projects from concept to production, working with a diverse team to build scalable, impactful solutions.
What We Offer:
- A significant role in shaping the future of AI products in an innovative and sustainable industry.
- Flexible working hours and the option for home office arrangements.
- A dynamic, agile environment with flat hierarchies and creative freedom.
- Collaboration with a multidisciplinary team of experts in machine learning, computer vision, data science, and product development.
- Innovative AI Development: Design and implement advanced ML models for tasks such as object recognition, image segmentation, forecasting, and anomaly detection.
- Integration and Optimization: Develop scalable, efficient algorithms and integrate them into real-world applications.
- Research & Innovation: Stay at the forefront of AI advancements, leveraging state-of-the-art technologies like deep learning and large language models.
- Technical Leadership: Mentor junior engineers, lead code reviews, and promote best practices for AI development.
- Deployment & Optimization: Ensure reliable deployment of models into production environments, with ongoing monitoring and enhancement.
- At least 4 years of experience in AI solution development, particularly in computer vision and time series analysis.
- Proven success in implementing complex models in practical, production-ready applications, ideally cloud-based.
- Proficiency in Python, C++, and frameworks like TensorFlow or PyTorch, as well as tools such as OpenCV and scikit-learn.
- Strong mathematical foundation in areas like linear algebra and optimization, with experience in analyzing large datasets.
- Excellent communication and leadership skills for cross-functional collaboration.
- Proficiency in German and English is highly desirable.
- Position type: Full-time, permanent.
- Working hours: Monday to Friday.
- Hybrid work model, with some on-site presence in Bremen required.
