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Computer Vision Engineer Job Opening In Thrissur – Now Hiring Green HR Solutions


Job description

Hiring for a USA based multinational Software Company


We are seeking a talented Computer Vision Engineer to join our team and develop innovative solutions using cutting-edge AI and image processing technologies.

The ideal candidate will have strong experience in computer vision, machine learning, and deep learning frameworks to build real-world applications such as object detection, facial recognition, image segmentation, and visual analytics.


  • Design, develop, and implement computer vision algorithms for image and video analysis.
  • Work with datasets to train, test, and validate deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV.
  • Build and optimize object detection, tracking, and recognition systems.
  • Collaborate with cross-functional teams including data scientists, ML engineers, and software developers.
  • Perform model evaluation, optimization, and deployment on cloud or edge devices.
  • Research and stay updated on the latest advancements in AI, deep learning, and computer vision technologies.
  • Write efficient, maintainable, and well-documented code.
  • Proven experience with Computer Vision and Deep Learning frameworks (TensorFlow, Keras, PyTorch).
  • Strong knowledge of Python, OpenCV, and image/video processing techniques.
  • Experience with CNNs, object detection (YOLO, Faster R-CNN, SSD), segmentation (U-Net, Mask R-CNN).
  • Familiarity with NVIDIA CUDA, GPU acceleration, and model optimization tools.
  • Understanding of data preprocessing, annotation, and augmentation methods.
  • Excellent analytical, problem-solving, and debugging skills.
  • Experience with real-time computer vision systems or edge AI (Jetson Nano, Raspberry Pi).
  • Knowledge of 3D vision, SLAM, or AR/VR technologies.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps workflows.
  • Contributions to open-source computer vision projects are a plus.




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 Thrissur, India, highlighting market share and opportunities for professionals in Computer Vision roles.

6339 Jobs in India
6339
41 Jobs in Thrissur
41
Download Computer Vision Jobs Trends in Thrissur and India

Are You Looking for Computer Vision Engineer Job?

Great news! is currently hiring and seeking a Computer Vision Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Green HR Solutions 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 Thrissur. 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.

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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

Green HR Solutions 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 Green HR Solutions'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.

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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.

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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 Green HR Solutions, 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 Green HR Solutions'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!

How to Set Up Job Alerts for Computer Vision Engineer Positions

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