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Position: Computer Vision Engineer Location: Pune (Pimpri) Experience: 4-7 Years Work Mode: Work form Office Key Responsibilities: Own end-to-end Computer Vision and AI solution deployment from requirement analysis, model selection, validation, commissioning, and production acceptance.Develop and optimize vision AI models, image-processing techniques, datasets, and evaluation processes to achieve required accuracy and reliability.Collaborate with automation teams to select and integrate cameras, lenses, lighting, triggering systems, and edge computing hardware for inspection solutions.Deploy, configure, troubleshoot, and improve Computer Vision models in Linux-based production environments across customer manufacturing sites.Lead dataset management, model performance monitoring, retraining, version control, and documentation throughout the product lifecycle.Work closely with cross-functional teams (software, electrical, mechanical, automation, and customers) to deliver scalable AI-powered quality inspection systems. Qualifications Bachelors/Masters degree in Computer Science, Software Engineering, or related fields.4-7 years of experience in developing and deploying Computer Vision / Vision AI solutions, preferably in industrial or manufacturing domains.Strong knowledge of Computer Vision concepts including image processing, classification, object detection, segmentation, anomaly detection, and model evaluation.Proficiency in Linux environments and Python for AI model development, experimentation, data processing, automation, and production support.Hands-on understanding of industrial cameras, lenses, lighting, image acquisition systems, and edge computing hardware.Knowledge of manufacturing processes, automation systems, quality inspection applications, and willingness to travel for customer deployments and commissioning. .
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.