Job Summary

To conceptualize| design and deliver product / sustenance delivery through the team as per defined scope and standards in computer vision engineering.

Key Responsibilities

• Design robust computer vision solutions for assembly and defect inspection.
• Develop image processing and computer vision algorithms for detection, segmentation, OCR, and anomaly detection.
• Build, train, optimize, and deploy deep learning models for industrial applications.
• Design camera, lens, and lighting setups for inspection systems.
• Deploy AI models on edge devices and GPUs using optimization frameworks.
• Implement MLOps pipelines for model training, monitoring, and lifecycle management.
• Develop REST APIs and microservices to expose computer vision capabilities.
• Collaborate with manufacturing, automation, and software engineering teams.

Skill Requirements

• Image Processing & Computer Vision: OpenCV, image enhancement, OCR, image correction, calibration, feature extraction.
• Deep Learning: Object Detection, Segmentation, Classification, Anomaly Detection.
• Frameworks: PyTorch, TensorFlow, ONNX.
• Programming: Strong Python development skills.
• Edge AI: NVIDIA Jetson, Edge GPUs, TensorRT, DeepStream, OpenVINO.
• MLOps: MLflow, Docker, Kubernetes, CI/CD, model monitoring.
• API Development: FastAPI, Flask, REST Services.
• Industrial Vision: Cameras, optics, lighting, machine vision systems.
• Proven experience deploying production-grade computer vision solutions.

Other Requirements

• Business requirements understanding,
• Deployment,   Vision / Camera knowledge
• Azure Cloud Architecture
• Azure AI/ML Services
• Azure IoT Edge
• UI Development (React, Angular, Streamlit)

• 5–12+ years in Computer Vision, AI/ML, or Industrial Automation.
• Experience in manufacturing quality inspection, assembly verification, or machine vision systems preferred.