We are seeking an experienced professional with strong expertise in Digital Image Processing (DIP), including both theoretical and practical knowledge. The ideal candidate will have a deep understanding of the intersection of Digital Signal Processing (DSP) and DIP, along with hands-on experience in Computer Vision and Machine Learning concepts and applications.
Duties and Responsibilities:
Digital Image Processing Expertise: Apply advanced theoretical and practical knowledge in Digital Image Processing, with a focus on techniques such as FFT, filtering, and other related methods.
DSP and DIP Integration: Leverage a solid understanding of Digital Signal Processing (DSP) techniques to enhance DIP applications.
Research & Application: Analyze and interpret research papers in Digital Image Processing, utilizing insights to drive innovative solutions.
Programming Proficiency: Develop and implement solutions using C++, OpenCV and Matlab (including its DIP toolboxes)
Machine Learning & Computer Vision: Work on projects related to Computer Vision and Machine Learning, using these techniques to solve complex problems.
Effective Communication: Clearly articulate complex concepts, findings, and project progress to both technical and non-technical stakeholders.
Team Collaboration: Collaborate effectively within a team, contributing to a positive and productive work environment.
Willingness to Travel: Be open to travel onsite to client locations as required.
Onsite Presence: Work from the office as part of a collaborative and dynamic team environment.
Qualifications
The ideal candidate in a few words
Educational Background: M.Tech or Ph.D. in Electronics Engineering, Computer Science, or a related field with a focus on Digital Image Processing, Computer Vision, or Signal Processing.
Experience: 3+ years of hands-on experience in Digital Image Processing, Computer Vision, and Machine Learning projects.
Communication Skills: Strong verbal and written communication skills for effective knowledge sharing and collaboration.