AI -Image Processing Specialist

0 years

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Posted:22 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

AI -Image Processing Specialist -4-5 yrs experience-Immediate Joiners



The Image Processing Specialist will design, develop, and optimise image processing and computer vision algorithms. The role involves building AI-driven solutions for tasks such as image classification, object detection, segmentation, and enhancement. You will collaborate with multi-functional teams to integrate these algorithms into products or platforms .This is a full time on site job based at our office in Infopark, Kochi.


Key Responsibilities

  • Develop and optimise image processing and computer vision algorithms (e.g., filtering, enhancement, object tracking, segmentation).
  • Preprocess, annotate, and analyse large image datasets for machine learning model development.
  • Implement, train, and validate AI models (e.g., deep learning, neural networks) for tasks such as classification, recognition, and image generation.
  • Collaborate with product, engineering, and data science teams to define requirements and deploy solutions in production.
  • Continuously research and introduce modern techniques and libraries (e.g., OpenCV, TensorFlow, PyTorch).
  • Optimise code for speed and scalability, potentially including GPU acceleration.
  • Participate in model testing, validation, and troubleshooting.
  • Maintain thorough documentation of developed algorithms and processes.


Required Skills and Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical field.
  • Proficiency in Python and/or C++ (MATLAB is a plus).
  • Experience with computer vision and image processing libraries such as OpenCV, TensorFlow, PyTorch.
  • Solid understanding of machine learning and deep learning concepts.
  • Familiarity with GPU programming, real-time image analysis, and optimisation.
  • Strong problem-solving and analytical skills.
  • Ability to work in a collaborative, cross-functional environment.
  • Knowledge of version control systems (e.g., Git).


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