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Principal Engineer - AI/ML - Computer Vision

Stryker

Bengaluru, India

ML Engineering

Posted 1 month ago

principalonsite

Verified open on Sep 16, 2026 · posted 38 days ago

Job Description

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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This role is classified as ML Engineering.

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$200k - $281k is the middle 50% of disclosed salaries, measured from 251 live ML Engineering postings on this board. Roughly two thirds of postings disclose nothing, so this describes the ones that do, not the whole market.

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