Dear Candidate,
We are currently hiring for the role of Senior Staff Engineer – AI/ML (Computer Vision) with Stryker. Please review the job details below carefully.
Job Title: Senior Staff Engineer – AI/ML (Computer Vision)
Company: Stryker
Location: Bengaluru
Experience: 11–14 Years
Work Model: Hybrid
Role Overview
We are looking for a highly experienced AI/ML professional with strong expertise in Computer Vision, Deep Learning, and AI Systems Engineering to lead the development of production-grade AI solutions. The role involves driving the complete AI lifecycle—from architecture and algorithm design to model optimization, validation, and deployment—while collaborating with global engineering teams to deliver scalable healthcare AI solutions.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field.
- 11–14 years of experience in AI/ML, Computer Vision, Deep Learning, or AI Systems Engineering.
- Strong programming expertise in Python.
- Hands-on experience with PyTorch and/or TensorFlow.
- Strong understanding of Algorithms, System Design, Software Engineering, Model Evaluation, and AI Model Optimization.
- Experience with inference optimization and deployment using TensorRT, ONNX, or OpenVINO.
- Experience working with cloud platforms such as AWS or Azure, including AWS SageMaker or Azure ML.
- Experience designing and deploying scalable AI/ML solutions in production environments.
- Strong collaboration and technical leadership skills with experience working across global teams.
Preferred Skills
- Experience with Agentic AI workflows or AI-assisted software development.
- Experience reviewing AI-generated code and technical artifacts.
- Healthcare, Medical Device, or other regulated industry experience is preferred.
- Experience leading end-to-end AI product development and deployment.
Key Interview Focus Areas
Candidates will be evaluated on their practical experience in:
- Computer Vision and Deep Learning solutions
- AI/ML system architecture and production deployment
- Python programming and AI software engineering
- PyTorch and/or TensorFlow implementation
- Model evaluation, inference optimization, and deployment
- TensorRT, ONNX, and/or OpenVINO
- AWS/Azure cloud platforms and SageMaker/Azure ML
- System Design and scalable AI architectures
- Agentic AI and AI-assisted development (if applicable)
- Technical leadership, architecture decisions, and stakeholder collaboration
- Production AI deployments and project ownership
