Description
LINDERA, founded in 2017, is a pioneer in addressing the critical challenge of fall prevention among the aging population through advanced Computer Vision AI technology. Despite progress in elder care, falls remain a leading cause of injury among seniors, leading to decreased mobility, loss of independence, and a heavy burden on healthcare systems. Traditional methods for assessing fall risk often require specialized equipment and expertise, limiting their accessibility.
At LINDERA, we (r)evolutionize fall prevention by leveraging AI-driven 3D motion analysis, utilizing everyday smartphone cameras to analyze gait parameters. Our solution democratizes access to advanced gait analysis, allowing for accurate early detection of fall risks and personalized intervention strategies, ultimately improving the safety and quality of life for the elderly. As a dynamic leader at the intersection of digital health innovation and practical application, we are shaping the future of medical technology.
Tasks
The Role
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.
Your 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.
Requirements
Your Profile
- 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
What We Offer
- Innovative and Unique Product
- Effective Structures and Open Communication
- Diverse and Challenging Role
- Freedom and Responsibility
- Living LINDERA Values
- Respectful and Solution-Oriented
- State-of-the-Art
- Inspiring Work Environment
- Flexible and Competitive Benefits
LINDERA – Move safely, live happily!