Senior Machine Learning Engineer - AI Integration Engineer

LINDERA GmbH
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Senior

Job location

Remote

Tech stack

Artificial Intelligence
Computer Vision
Continuous Integration
DevOps
Python (Programming Language)
Machine Learning
Software Engineering
PyTorch
Deep Learning
Gitlab
Kotlin
Kubernetes
Information Technology
Machine Learning Operations
Docker

Job description

As a Senior Machine Learning Engineer - AI Integration Engineer, you will be instrumental in developing AI solutions and integrating them into our production environments and on mobile devices. You will work on making our innovative AI models accessible and impactful in real-world healthcare applications., * 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., * Innovative and Unique Product - At LINDERA, you will be a pioneer, actively shaping the digital future of healthcare with cutting-edge AI solutions. As a leader in 3D Motion Tracking, we set global standards in Mobility Assessment and Decision Intelligence. You will not only work with a unique product but also contribute to transforming care and medicine through our innovative technology.
  • 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. Our open communication fosters collaboration across all departments, ensuring that our products thrive on the collective expertise and ideas of our team.
  • Diverse and Challenging Role - We navigate a dynamic and regulated healthcare market where every day brings new challenges. Our team embraces these challenges as opportunities to drive innovation, making our work both exciting and unique.
  • Freedom and Responsibility - After onboarding and training, you will have the space to independently shape and pursue your goals. We value shared responsibility and trust in the skills of each team member to contribute meaningfully to our collective success.
  • Living LINDERA Values - We have a strong sense of who we are and how we interact with each other. Our values guide our daily actions, and we continuously evolve them in the spirit of our organization.

Requirements

  • 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.

Benefits & conditions

  • Respectful and Solution-Oriented - The foundation of our successful development is the respectful integration of different perspectives and ideas. We live this approach with a focus on solutions and mutual respect.
  • State-of-the-Art - We work with the latest technologies, cutting-edge equipment, and modern working methods, regularly reflecting on our processes to stay ahead of the curve.
  • 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. Enjoy a competitive salary package, monthly contributions towards a company pension scheme, and the freedom to work in a way that best suits you.

LINDERA - Move safely, live happily!

About the company

LINDERA is an AI-driven medical device manufacturer founded in 2017, specializing in Computer Vision-based movement analysis for clinical and healthcare applications. The company addresses a fundamental challenge in modern healthcare: the need for objective, scalable, and accessible movement diagnostics. Traditional gait and movement analysis requires expensive laboratory equipment, specialized facilities, and expert personnel-creating barriers to widespread clinical adoption and limiting access for patients who would benefit most. LINDERA transforms movement analysis through smartphone-based 3D motion tracking technology. Using proprietary AI algorithms, the company's platform analyzes gait parameters and movement patterns through standard smartphone cameras, eliminating the need for specialized hardware while maintaining clinical-grade accuracy. This democratization of movement diagnostics enables healthcare providers across multiple specialties to integrate objective biomechanical data into clinical decision-making. Core Technology LINDERA's patented Computer Vision AI analyzes video recordings to extract precise 3D skeletal motion data, capturing eight key gait parameters and biomechanical markers. The technology operates on-device for data privacy, functions offline, and delivers results comparable to gold-standard laboratory systems (validated against GAITRite).

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