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Principal Engineer - AI/ML - Computer Vision

Stryker

Bengaluru, Karnataka, IndiaPRINCIPAL
AIHealthcareMachine LearningComputer Vision

Job Description

Lead the end-to-end development of critical AI subsystems in healthcare.

Responsibilities

  • 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.

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.

Nice to have

  • 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.

Interested in this role?

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