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Technical Specialist

Hcltech

Technical Specialist

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

Vacancy posted 1 day ago
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