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Computer Vision Engineer Job Opening In Rajkot – Now Hiring Eternal Robotics


Job description

About Eternal Robotics – Hypervise
Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI.

Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical.
Role Overview
We are looking for a AI Engineer - Computer Vision with 2–5 years of experience to develop and deploy production-grade CV solutions across our customer sites.

This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments.
You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance.
Key Responsibilities
1.

Model Development & Testing
Build and optimize deep learning models for object detection, segmentation, and classification.
Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models.
Validate model accuracy against customer specifications and datasets.
2.

CV Pipeline Implementation
Develop modular and maintainable computer vision pipelines using Python.
Integrate pre-processing, inference, and post-processing components for edge and server-side deployments.
3.

Hardware & Deployment Support
Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment.
Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting.
4.

Testing & Quality Assurance
Write and execute test cases to ensure system functionality and robustness in diverse environments.
Collaborate with QA and support teams to resolve performance issues.
5.

Documentation & Collaboration
Document architecture, model performance, and system configurations.
Participate in code reviews and peer programming sessions.
Coordinate with team leads and project managers to align with delivery timelines.
Qualifications & Experience
Education: Bachelor’s in Computer Science, Electronics, or related engineering field.

Master’s degree or certifications in AI/ML is a plus.
Experience: 2–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments.
Key Technical Skills
Proficiency in Python and OpenCV.
Experience with deep learning libraries: PyTorch, TensorFlow, Keras.
Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation.
Working knowledge of Linux environments, Git, and basic shell scripting.
Experience with Jetson Nano/Xavier, DeepStream SDK is preferred.
Understanding of camera configuration, lighting setups, and imaging constraints.
Experience deploying models on edge or embedded devices is a strong advantage.
Soft Skills
Strong debugging and problem-solving skills.
Team player with a willingness to learn and adapt.
Effective communicator capable of interfacing with both engineering and customer teams.
Disciplined in documentation and reporting.
Why Join Hypervise?
Build solutions that are deployed across real industrial environments.
Work alongside passionate technologists in a startup culture.
Access to advanced tools, data, and edge-AI hardware.
Be part of a company leading the industrial AI revolution.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Computer Vision Potential: Insight & Career Growth Guide


Real-time Computer Vision Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Computer Vision in Rajkot, India, highlighting market share and opportunities for professionals in Computer Vision roles.

6339 Jobs in India
6339
62 Jobs in Rajkot
62
Download Computer Vision Jobs Trends in Rajkot and India

Are You Looking for Computer Vision Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Eternal Robotics adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Computer Vision Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Rajkot. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Computer Vision Engineer?

Key qualifications for Computer Vision Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Computer Vision Engineer?

To improve your chances of getting hired for Computer Vision Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Computer Vision Engineer Job Success

Eternal Robotics interview tips for Computer Vision Engineer

Here are some tips to help you prepare for and ace your Computer Vision Engineer job interview:

Before the Interview:

Research: Learn about the Eternal Robotics's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Computer Vision Engineer interview at Eternal Robotics, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Eternal Robotics's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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