About the role

Senior Machine Learning Engineer developing and integrating AI solutions into healthcare applications. Focusing on model optimization and production deployment in a collaborative team environment.

Responsibilities

Develop, optimize, and integrate AI and deep learning models, particularly in computer vision, into production and mobile environments.
Utilize inference platforms such as ONNX and TensorRT to deploy AI models efficiently.
Write and maintain production-ready code in Python, focusing on performance and reliability.
Maintain and improve our codebase to meet day-to-day goals and ensure seamless integration with our technology stack.
Come up with smart ways to acquire, visualize, explore, and clean up large heterogeneous data to enhance model performance and usability.
Collaborate with cross-functional teams, such as clinical R&D specialists, product and software engineers, presenting your ideas, supporting other computer vision engineers, data scientists, and fostering a team-player environment with your solution driven mindset.
Ensure seamless integration of AI models into user-facing solutions, troubleshooting and refining as needed.

A degree (BSc or MSc) in Computer Science, Mathematics/Statistics, Engineering, or a related field.
3+ years of experience in AI, deep learning, or computer vision, with a focus on real-world model integration.
Good knowledge of AI/ML solutions, algorithms, and best practices, with the ability to apply them to solve complex problems.
Experience working with large heterogeneous datasets, with a strong ability to manipulate, analyze, and derive insights from data.
Proficiency in Python, with hands-on experience using deep learning frameworks like PyTorch and inference platforms like ONNX and TensorRT.
Familiarity with app & software development (Kotlin, Swift and Rust) is a plus.
Familarity with MLOps (DVS) and DevOps Engineering tools, like Docker, Kubernetes and CI/CD pipeline like Gitlab runners.
A collaborative mindset, excellent problem-solving skills, and the ability to take initiative.
Fluent in English; German skills are a plus.
Willingness to work on-site in Berlin 3 days a week.

Innovative and Unique Product – At LINDERA, you will be a pioneer, actively shaping the digital future of healthcare with cutting-edge AI solutions.
Effective Structures and Open Communication – We operate in a task-oriented manner with a flat hierarchy, allowing us to quickly adapt and fully leverage our team's potential.
Diverse and Challenging Role – We navigate a dynamic and regulated healthcare market where every day brings new challenges.
Freedom and Responsibility – After onboarding and training, you will have the space to independently shape and pursue your goals.
Living LINDERA Values – We have a strong sense of who we are and how we interact with each other.
Respectful and Solution-Oriented – The foundation of our successful development is the respectful integration of different perspectives and ideas.
State-of-the-Art – We work with the latest technologies, cutting-edge equipment, and modern working methods.
Inspiring Work Environment – Our modern office in the heart of Kreuzberg, Berlin, offers excellent connectivity, a diverse infrastructure, and an atmosphere designed for collaboration and ambition.
Flexible and Competitive Benefits – We offer a hybrid work environment with home-office flexibility and the opportunity to work remotely from anywhere for up to 2 weeks per year.