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Principal Engineer - AI/ML - Computer Vision

Stryker • Artificial Intelligence • Robotic Software & Control Systems • Travel required • Bachelor's Degree • Python • 6 months ago
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Salary
≈ $25k – $65k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Principal · 12+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Apr 20, 2026. Stryker scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Stryker

Stryker is an American medical technology company founded in 1941 by an orthopaedic surgeon who began manufacturing the mobility devices he had designed for his own patients. It sells hip and knee implants, trauma and extremity fixation, spinal implants, surgical power tools and navigation, neurovascular devices, hospital beds and stretchers, emergency response equipment, and the Mako robotic arm used for joint replacement. Listed on the New York Stock Exchange, it is one of the largest orthopaedic device makers in the world. The company is headquartered in Portage, Michigan, United States.
stryker.com • HQ: Portage, United States • Neurotech & Neuromodulation • Hospital Equipment & Furniture • Surgical Instruments & Devices • Orthopedic & Spine Implants • 5000+ employees • Est. 1941
Tech stack of Stryker
Backed by NEA, | Promus Ventures, Lumira Ventures
Work Flexibility: Hybrid or Onsite

What You Will Do:

  • Lead the end-to-end development of critical AI subsystems in healthcare, from algorithmic direction through implementation, validation, optimization, and deployment readiness.

  • Translate business and open-ended requirements into clear technical strategies and execution plans.

  • Drive agent-assisted development by leveraging agentic AI to accelerate execution while maintaining accountability for technical outcomes.

  • Critically review AI-generated code and artifacts to ensure technical rigor, quality, and reliability.

  • Design and implement scalable, high-performance AI/ML and computer vision solutions.

  • Oversee model evaluation, inference optimization, and deployment for real-world applications.

  • Collaborate with cross-functional, different geographically located teams to deliver robust AI solutions aligned with business and regulatory requirements.

  • Identify technical risks early and ensure timely, high-quality delivery of AI subsystems.

What You Need:

Required Qualifications-

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field.

  • 12-17 years of experience in AI/ML, computer vision, deep learning, or AI systems engineering.

  • Strong foundations in algorithms, system design, software engineering, model evaluation, and optimization.

  • Advanced programming expertise in Python with hands-on experience in PyTorch or TensorFlow.

  • Experience with inference optimization and deployment using TensorRT, ONNX, or OpenVINO.

  • Familiarity with cloud platforms such as AWS or Azure and ML services such as AWS SageMaker or Azure ML.

Preferred Qualifications-

  • Experience leading agentic AI workflows or teams and reviewing AI-generated code and artifacts.

  • Experience in the medical/healthcare domain or shipping AI/ML products in regulated environments with validation and risk management requirements.

Travel Percentage: 10%
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