Principal Engineer - AI/ML - Computer Vision

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%