Principal Engineer - AI/ML - Computer Vision

Stryker; Bengaluru; Vor Ort; INR 2.500.000 - 3.500.000; Vollzeit

Zusammenfassung

Stryker is seeking an experienced AI Engineer based in Bengaluru, India. The role involves leading the development of critical AI subsystems in healthcare, requiring strong qualifications in AI/ML, algorithms, and programming in Python. The ideal candidate will have 12-17 years of experience, particularly in optimizing AI solutions for real-world applications. Opportunities for collaboration with diverse teams across the organization are integral. This position may lead to significant advancements in healthcare technology.

Qualifikationen

• 12–17 years of experience in AI/ML or related fields.
• Strong foundations in software engineering and optimization.
• Experience with inference optimization using TensorRT or ONNX.

Aufgaben

• Lead development of AI subsystems in healthcare.
• Translate requirements into technical strategies.
• Review AI-generated code to ensure quality.

Kenntnisse

Algorithm Design

AI/ML Development

Python Programming

Deep Learning

Model Evaluation

Ausbildung

Bachelor's or Master's in Computer Science

Tools

PyTorch

TensorFlow

AWS SageMaker

Azure ML

Jobbeschreibung

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.