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Vision System Engineer

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Onsite

Vision System Engineer

Tata Technologies

Vision System Engineer

Skills

PythonC#Testing & QAData AnalysisMachine LearningAICompliance

8 days ago

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Important information


Contract type:

Permanent

Location:

Sanand, Gujarat 382110, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


At Tata Technologies , we make product development dreams a reality by designing, engineering, and validating the products of tomorrow for the world's leading manufacturers.

Walk-In Drive | Pune | Face-to-Face Interviews | 24th October (Saturday)

We are hiring talented professionals for exciting opportunities in the automotive engineering domain.

📍 Interview Location: Pune

Work Location : Sanand. Gujarat

📅 Date: 24th October, Saturday (9:00 AM to 2:00 PM IST)

🕒 Mode: Face-to-Face Interview

If you are looking for your next career opportunity and have relevant experience, we would love to meet you!

📧 Interested candidates can share their updated resume to [[email protected]] or walk in directly at the venue.

📌 Venue details will be shared with shortlisted candidates.

Tag your connections who might be interested!

Job Title: Vision System Engineer

Location: Sanand,Gujarat

Job Type: Full-Time

Experience: 6-9 Years

About the Role

We are seeking an experienced Vision Systems Automation Engineer to support the implementation and integration of advanced machine vision solutions within a highly automated manufacturing environment. The role involves designing, commissioning, and optimizing vision inspection systems integrated with robotic cells, PLCs, industrial automation systems, and smart factory platforms.

The ideal candidate should possess strong expertise in industrial machine vision technologies, image processing, automation controls, and manufacturing execution environments. Experience in battery manufacturing, automotive production, robotics integration, or high-speed automated assembly lines is highly desirable.

This position offers the opportunity to work on next-generation manufacturing technologies supporting Industry 4.0 initiatives, quality automation, traceability, and intelligent factory operations.

Key Responsibilities

Vision System Design & Development

  • Design, configure, and deploy industrial machine vision solutions for manufacturing and quality inspection applications.
  • Develop vision inspection strategies for automated production lines, robotic cells, assembly stations, and end-of-line testing systems.
  • Configure cameras, lighting systems, sensors, lenses, vision controllers, and image acquisition systems.
  • Develop image processing algorithms for inspection, measurement, defect detection, OCR/OCV, barcode reading, and traceability.

Automation & Controls Integration

  • Integrate machine vision systems with PLCs, SCADA, MES, robots, and manufacturing equipment.
  • Configure communication protocols such as Ethernet/IP, Profinet, OPC-UA, Modbus TCP/IP, and industrial networking standards.
  • Support integration with robot-guided vision applications and automated quality control systems.
  • Collaborate with controls and automation teams during commissioning and startup activities.

Manufacturing & Quality Applications

  • Implement automated inspection systems for:
  • Dimensional verification
  • Surface defect detection
  • Assembly validation
  • Label verification
  • Barcode and QR code scanning
  • Traceability solutions
  • Battery cell and module inspection
  • Develop process monitoring and vision-based quality assurance systems.

Commissioning & Support

  • Participate in FAT (Factory Acceptance Test), SAT (Site Acceptance Test), and production ramp-up activities.
  • Conduct troubleshooting and root cause analysis for vision system failures and inspection inaccuracies.
  • Optimize system performance to improve inspection reliability, cycle time, and manufacturing throughput.
  • Provide production support and continuous improvement recommendations.

Documentation & Compliance

  • Develop and maintain technical documentation, system architecture, commissioning reports, SOPs, and maintenance guidelines.
  • Ensure compliance with customer quality standards, industrial safety practices, and engineering procedures.
  • Support customer reviews, audits, and project documentation requirements.

Must-Have Skills

Machine Vision Platforms

Hands-on experience with one or more of the following:

  • Cognex In-Sight
  • Cognex VisionPro
  • Keyence Vision Systems
  • Omron FH/FZ Series
  • Basler Cameras
  • Sick Vision Solutions
  • Matrox Imaging
  • MVTec HALCON
  • OpenCV

Industrial Automation

  • PLC programming and troubleshooting
  • Siemens TIA Portal
  • Rockwell Automation / Allen Bradley PLCs
  • Beckhoff PLCs
  • Industrial networking and communication protocols
  • SCADA integration

Robotics Integration

Experience integrating vision systems with:

  • ABB Robots
  • Fanuc Robots
  • KUKA Robots
  • Yaskawa Robots
  • Universal Robots

Programming & Software

  • Python
  • C#
  • C++
  • Structured Text
  • Machine Vision Configuration Tools
  • Image Processing and Analysis

Manufacturing Experience

  • Automotive Manufacturing
  • Battery Manufacturing
  • EV Manufacturing
  • Automated Production Lines
  • Smart Factory / Industry 4.0 Initiatives
  • Quality Inspection Systems

Preferred Skills

  • Experience in Battery Cell, Module, or Pack Manufacturing.
  • Vision-guided robotics implementation.
  • AI/ML-based defect detection systems.
  • Knowledge of MES platforms and integration.
  • Understanding of Digital Manufacturing and Industry 4.0 architecture.
  • Familiarity with traceability and serialization systems.
  • Experience with 3D vision technologies and laser profiling systems.
  • Exposure to data analytics and predictive quality solutions.

Required Competencies

  • Strong analytical and troubleshooting skills.
  • Excellent problem-solving abilities.
  • Ability to work in fast-paced manufacturing environments.
  • Customer-facing communication skills.
  • Cross-functional collaboration with Automation, Robotics, MES, Quality, and Production teams.
  • Ability to support global deployments and travel when required.

Tata Technologies Inc. is an Equal Opportunity/Affirmative Action Employer. We provide equal employment opportunities to all qualified applicants and employees.

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