Principal Engineer - AI/ML - Computer Vision

Stryker Corporation; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Stryker Corporation in Bengaluru seeks a senior AI/ML engineer to lead end-to-end development of critical AI subsystems for healthcare, from algorithm direction through validation, optimization and deployment readiness.

You will translate requirements into technical strategies, drive agentic AI initiatives, review AI-generated artifacts, and collaborate with global teams to deliver scalable, high-performance solutions while complying with regulatory requirements.

Qualifications

• Bachelor’s or Master’s in CS/AI/ML/EE; 12–17 years in AI/ML, CV, DL, or AI systems engineering.
• Strong foundations in algorithms, system design, software engineering, model evaluation and optimization.
• Advanced Python with PyTorch or TensorFlow; experience with inference optimization and deployment.

Responsibilities

• Lead end-to-end development of AI subsystems in healthcare from direction to deployment readiness.
• Translate business requirements into technical strategies and execution plans.
• Drive agentic AI development while ensuring accountability for technical outcomes.
• Critically review AI-generated code and artifacts for quality and reliability.
• Design and implement scalable AI/ML and computer vision solutions.
• Oversee model evaluation, inference optimization, and deployment for real-world use.
• Collaborate with cross-functional teams across locations to meet regulatory requirements.
• Identify technical risks early and ensure timely, high-quality delivery.

Skills

AI/ML

Python programming

Algorithms

Software engineering

Cross-functional collaboration

Education

Bachelor's or Master's degree in Computer Science/AI/ML/EE

Tools

PyTorch

TensorFlow

TensorRT

ONNX

OpenVINO

AWS

Azure

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% Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces! For more information, visit: www.stryker.com

Work Flexibility Details

• Remote – Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location.
• Field‑based – You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field‑based.
• Onsite – Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category.
• Hybrid – You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co‑located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.