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AI Image Processing Specialist - Computer Vision Job Opening In Kochi – Now Hiring NOMD TECHNOLOGIES


Job description

<p><p><b>Ai -Image Processing Specialist : </b><br/><br/></p><p>- 4-5 yrs experience - Immediate Joiners.</p><p><br/></p><p>The Image Processing Specialist will design, develop, and optimise image processing and computer vision algorithms.</p><p><br/></p><p>The role involves building AI-driven solutions for tasks such as image classification, object detection, segmentation, and enhancement.</p><p><br/></p><p>You will collaborate with multi-functional teams to integrate these algorithms into products or platforms.</p><p>This is a full time on site job based at our office in Infopark, Kochi.</p><p><b><br/></b></p><p><b>Key Responsibilities : </b></p><p><br/></p><p>- Develop and optimise image processing and computer vision algorithms (e.g., filtering, enhancement, object tracking, segmentation).</p><p><br/></p><p>- Preprocess, annotate, and analyse large image datasets for machine learning model development.</p><p><br/></p><p>- Implement, train, and validate AI models (e.g., deep learning, neural networks) for tasks such as classification, recognition, and image generation.</p><p><br/></p><p>- Collaborate with product, engineering, and data science teams to define requirements and deploy solutions in production.</p><p><br/></p><p>- Continuously research and introduce modern techniques and libraries (e.g., OpenCV, TensorFlow, PyTorch).</p><p><br/></p><p>- Optimise code for speed and scalability, potentially including GPU acceleration.</p><p><br/></p><p>- Participate in model testing, validation, and troubleshooting.</p><p><br/></p><p>- Maintain thorough documentation of developed algorithms and Skills and Qualifications : </b></p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Electrical Engineering, or related technical field.</p><p><br/></p><p>- Proficiency in Python and/or C++ (MATLAB is a plus).</p><p><br/></p><p>- Experience with computer vision and image processing libraries such as OpenCV, TensorFlow, PyTorch.</p><p><br/></p><p>- Solid understanding of machine learning and deep learning concepts.</p><p><br/></p><p>- Familiarity with GPU programming, real-time image analysis, and optimisation.</p><p><br/></p><p>- Strong problem-solving and analytical skills.</p><p><br/></p><p>- Ability to work in a collaborative, cross-functional environment.</p><p><br/></p><p>- Knowledge of version control systems (e.g., Git).</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your AI Image Potential: Insight & Career Growth Guide


Real-time AI Image 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 AI Image in Kochi, India, highlighting market share and opportunities for professionals in AI Image roles.

114720 Jobs in India
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673 Jobs in Kochi
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7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Kochi. 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.

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Key qualifications for AI Image Processing Specialist Computer Vision 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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NOMD TECHNOLOGIES interview tips for AI Image Processing Specialist   Computer Vision

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

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Final Thought:

To prepare for your AI Image Processing Specialist Computer Vision interview at NOMD TECHNOLOGIES, research the company, understand the job requirements, and practice common interview questions.

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