Principal Engineer - AI/ML - Computer Vision
LocationBengaluru, India
Work modehybrid
Typefull-time
SeniorityLead
Experience12–17 yrs
Company size10,000+ people
PostedApr 20, 2026 · 5mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
PyTorch
TensorFlow
TensorRT
ONNX
OpenVINO
AWS
Azure
AWS SageMaker
Azure ML
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.
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Translate business and open-ended requirements into clear technical strategies and execution plans.
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Drive agent-assisted development by leveraging agentic AI to accelerate execution while maintaining accountability for technical outcomes.
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Critically review AI-generated code and artifacts to ensure technical rigor, quality, and reliability.
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Design and implement scalable, high-performance AI/ML and computer vision solutions.
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Oversee model evaluation, inference optimization, and deployment for real-world applications.
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Collaborate with cross-functional, different geographically located teams to deliver robust AI solutions aligned with business and regulatory requirements.
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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%