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Description : Algorithm Development Engineering : Experience - 2 to 4 years Location - Chennai Must Haves : - Experience with tools like OpenCV, scikit-image, or MATLAB - Experience on Machine learning and Deep learning - Min 1 yr exp in C++ and Image Processing - Min 1 year Computer vision and Image processing experience - Experience in Product or Semi conductor or Hardware Manufacturing company - Education/qualification: Only from premier Institute like IIT, IISC, and Top international universities. Note : The job requires 2 to 3 years travel to Taiwan. Job Description : 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. Your responsibilities will include : 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 go Wow : - Academic projects or internships involving image analysis or computer vision. - Exposure to machine learning or deep learning for visual tasks. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.