🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Job Title: Machine Vision Engineer Location: Baner, Pune, Maharashtra (On-site) Apply Here: https://forms.office.com/r/GxMWysNmNs https://dalnex.com/ https://www.linkedin.com/company/dalnex-iot-industry40-automation Key Responsibilities Assist in designing and deploying basic machine vision systems using industrial cameras, lenses, and lighting. Develop and test rule-based and AI-based image analysis algorithms under guidance. Support training, validation, and fine-tuning of deep learning models using TensorFlow / PyTorch. Implement image processing workflows using Python and OpenCV. Work on integrating vision solutions with Raspberry Pi or other edge/embedded platforms. Collaborate with automation and controls teams during system testing, installation, and on-site deployment. Participate in debugging, documentation, and performance optimization of vision applications. Requirements Fresher or up to 1 year of experience in Machine Vision / Computer Vision (internships or academic projects count). Good understanding of Python programming and basic OpenCV concepts. Fundamental knowledge of machine vision components such as cameras, lenses, and lighting. Basic understanding of rule-based vision logic and deep learning model training workflows. Familiarity with Raspberry Pi or similar embedded systems through projects or labs. Bachelors degree in Computer Science, Electronics, Electrical, Mechatronics, or a related field. Nice to Have Hands-on academic or personal projects using TensorFlow or PyTorch. Exposure to machine vision SDKs like HALCON, Cognex, or Basler (academic or demo-level experience is sufficient). Basic understanding of industrial automation, robotics, or factory systems. Strong willingness to learn, experiment, and work on real-world industrial problems. Job Type: Full-time Compensation: 15,000.00 - 25,000.00 per month Work Location: In person .
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.