
Algorithm Development Engineer
7 days ago
Job Description
Title : Analyst, Algorithm Development Engineering
Experience : 2 to 4 years
Location : Chennai
Hybrid - 3 days work from office
Must Have :
- C++ and Linux
- OpenCV, scikit-image, or MATLAB
- Min 1 year Computer vision and Image processing experience
Role And Responsibilities :
You will be part of a Artificial Intelligence and High Performance Computing group that develops algorithms and software solutions that enhance the performance of our inspection tools.
Technical Skills :
Proficiency in conventional image processing techniques, including :
- Filtering (Gaussian, Median, etc.)
- Edge detection (Sobel, Canny)
- Thresholding, morphological operations, and histogram analysis
- Fourier Transforms
Familiarity with classical computer vision methods, such as :
- Feature extraction (SIFT, SURF, ORB)
- Object detection using Haar cascades or contour analysis
- Image registration, geometric transformations, and camera calibration
- Hands-on experience with tools like OpenCV, scikit-image, or MATLAB.
- Expertise in C/C++, Linux Development.
- Good debugging skills in using gdb and Linux system utilities to troubleshoot timing sensitive distributed applications.
Analytical Abilities :
- Strong mathematical foundation in linear algebra, calculus and statistics.
- Ability to analyze, interpret, and troubleshoot visual data effectively.
- Excellent problem-solving skills and attention to detail.
Soft Skills :
- Excellent communication and interpersonal skills.
- Willingness to learn and adapt to new technologies and customer environments.
- Ability to work independently and collaboratively in cross-functional teams.
Mobility & Commitment :
- Willingness to travel to customer sites for long-term support engagements.
- Availability for on-site assignments lasting 12 months or more, depending on project requirements.
Things that can make us go Wow :
- Academic projects or internships involving image analysis or computer vision.
- Exposure to machine learning or deep learning for visual tasks.
(ref:hirist.tech)
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