Jobbeschreibung
At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.
Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we're committed to hiring and developing from within. You'll thrive in a culture of belonging where you and your unique viewpoint matter.
Learn about the Danaher Business System which makes everything possible.
The Senior AI Engineer, Device Intelligence(m/f/d) will be a key member of the AI Product and Imaging Innovation team, reporting to its Senior Director. This new role is instrumental in the implementation of cutting-edge AI systems that leverage data created by Danaher devices to extract meaningful insights and dramatically improve user experience, with the goal of upleveling Danaher's devices across Life Sciences, Diagnostics and Biotechnology sectors. This position is remote in Germany.
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
- Collaborate with the Senior Director and the broader team to develop AI-driven product improvements and create new products for Danaher devices, with an initial focus on imaging devices and the aim of extracting more valuable insights.
- Design and implement advanced AI systems, including next-generation agentic workflows, LLMs and computer vision technologies, to enhance instrument automation and uplevel user capabilities.
- Work closely with cross-functional and cross company teams to translate product concepts into concrete AI architectures, ensuring alignment with product success criteria and measurable KPIs.
- Lead the technical implementation of AI projects of notable complexity, involving multiple functions and typically spanning multi-quarter timelines.
- Drive innovation in the AI software stack, focusing on maximizing value extraction from instruments for customers through AI systems.
- Collaborate with business stakeholders, technical experts, and subject matter experts to build comprehensive AI roadmaps for imaging products across various verticals.
- Bachelor's degree in computer science, electrical engineering, life sciences or a related field. An advanced degree (MS or PhD) in a relevant area (i.e. Neural Networks, Foundation Model, Agentic Workflows, Machine Learning, Computer Vision) is preferred.
- Long standing experience in the Life Science, Diagnostics, Biotechnology or Tech Industry, including multiple years of experience with Agentic Systems, LLMs, and/or Multimodal AI.
- Demonstrable expertise with at least 3 of the following: convolutional neural networks, foundation models, vector databases, AI evaluation methods, RAG approaches, agentic frameworks.
- Proven track record of successful end-to-end implementation of AI projects in imaging applications, particularly in life sciences or healthcare domains.
- Strong programming skills in languages such as Python or C++, and extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, OpenCV) and containerization technologies (e.g., Docker, Kubernetes).
- Demonstrated ability to work effectively with cross-functional teams, communicate complex technical concepts to both technical and non-technical stakeholders, and align AI development with product goals and roadmaps.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for large-scale image processing and familiarity with hardware acceleration technologies (e.g. TPUs, GPUs, ARM-CPUs).
It would be a plus if you also possess previous experience in:
- Experience with regulatory processes, especially for medical devices and AI/ML-based software as a medical device (SaMD).
- Familiarity with quality management systems and standards relevant to the life sciences and diagnostics industries.
- Knowledge of instrument control mechanisms and how they integrate with AI systems for enhanced automation.
#LI-AC1
Mehr