What are the responsibilities and job description for the Technical Specialist position at HCLTech?
Northampton, North Carolina
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.
Maximum Salary (US): 172000
Minimum Salary (US): 87000
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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.
Maximum Salary (US): 172000
Minimum Salary (US): 87000
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Benefits:
Health Insurance, Vacation & Paid Time Off, 401K PlanSalary : $172,000