Senior AI Deployment Engineer
Senior AI Deployment Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Role location : Amsterdam!
If you are not in the Netherlands we hope you are willing to relocate!!
As aSenior AI deployment engineer you will work along with a team of AI scientists AI and xR application engineers software engineers and clinical experts to design develop and deploy computer vision augmented reality mixed reality multi-modal AI models and GenAI features into existing and new medical device products. This is a unique high visibility opportunity for talented individual who wants to dive deep into cutting-edge AI and GenAI optimization for cloud and edge deployments.
What you will do :
Develop and deploy Artificial Intelligence (AI) powered software on cloud andedge devices (iPhone iPad Vision Pro Android devices NVidia devices).
Optimize AI/ML models and pipelines for real-time inference on edge devices.
Build containerized AI services (e.g. Docker) and orchestrate deployments.
Deploy and maintain real-time microservices for AI applications including GenAI apps.
Work with MLOps and AI security platform team to support continuous integration testing and monitoring of AI models
Design deployment evaluation frameworks develop unit tests for software components in compliance with regulatory requirements
Generate and review the necessary documents with project teams.
Perform Software verification and/or validation testing
Perform code reviews as an independent reviewer followingbest coding standards and practices.
Who you are:
Bachelors degree in software engineering/ Computer Science or related discipline with 2 years of relevant work experience OR Masters in relevant disciplines OR PhD degree in relevant disciplines.
At least 4 years of Python and C development experience.
3 years of experience developing and deploying AI/ML models into production environments.
Proficiency in containerization tools (Docker Docker Compose).
Experience with CI/CD Git automation pipelines.
Strong Cloud deployment experience (Azure GCP or AWS) .
Proven ability to optimize AI models for real-time inference on edge devices to meet latency and performance requirements.
Knowledge of model optimization techniques (ONNX Runtime quantization pruning TensorRT OpenVINO CoreML etc.).
Experience with voice LLMs and Generative AI (LLMs vision multimodal multiagent)microservices experience.
Experience with multi-agentic AI frameworks for orchestrating complex workflows.
Experience with Kubernetes for orchestrating AI microservices.
Familiarity with monitoring and logging (Prometheus Grafana Azure Monitor etc.).
Experience with medical devices and product development standards in a regulated environment (ISO 13485 IEC 62304 ISO 14971).
Role impact:
As a valued member of Strykers AI innovation unit you will work alongside trailblazers industry visionaries innovators and inventors who are committed to bringing computer vision machine learning and generative AI and digital innovation to the operating room and other healthcare settings.
Youll contribute to fast-paced cycles of innovation and develop core technologies that power a wide array of Strykers solutions including: surgical robotics and navigation image-guided surgery treatment selection outcome assessment and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications cloud services and SDKs to embedded systems edge devices and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopedics and neurosurgery to emergency care and operating room safety and efficiency plus many more.
Required Experience:
Senior IC
Employment Type
Full-Time
