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Computer Vision Engineer(AI, industrial automation)| Product based Co

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Onsite

Computer Vision Engineer(AI, industrial automation)| Product based Co

Seventh Contact Hiring Solutions

Computer Vision Engineer(AI, industrial automation)| Product based Co

Skills

PythonGitAILinux

3 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Key Responsibilities:

  • Own end-to-end Computer Vision and AI solution deployment from requirement analysis, model selection, validation, commissioning, and production acceptance.
  • Develop and optimize vision AI models, image-processing techniques, datasets, and evaluation processes to achieve required accuracy and reliability.
  • Collaborate with automation teams to select and integrate cameras, lenses, lighting, triggering systems, and edge computing hardware for inspection solutions.
  • Deploy, configure, troubleshoot, and improve Computer Vision models in Linux-based production environments across customer manufacturing sites.
  • Lead dataset management, model performance monitoring, retraining, version control, and documentation throughout the product lifecycle.
  • Work closely with cross-functional teams (software, electrical, mechanical, automation, and customers) to deliver scalable AI-powered quality inspection systems.

Qualifications

  • Bachelors/Masters degree in Computer Science, Software Engineering, or related fields.
  • 4-7 years of experience in developing and deploying Computer Vision / Vision AI solutions, preferably in industrial or manufacturing domains.
  • Strong knowledge of Computer Vision concepts including image processing, classification, object detection, segmentation, anomaly detection, and model evaluation.
  • Proficiency in Linux environments and Python for AI model development, experimentation, data processing, automation, and production support.
  • Hands-on understanding of industrial cameras, lenses, lighting, image acquisition systems, and edge computing hardware.
  • Knowledge of manufacturing processes, automation systems, quality inspection applications, and willingness to travel for customer deployments and commissioning.

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