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Machine Learning Intern (Edge AI / Computer Vision) Location: Jaipur, Rajasthan Job Type: Internship Stipend: 10,000 12,000 per month Work Location: In-person Job Overview We are looking for a passionate Machine Learning Intern who is interested in working on real-world AI systems connected with high-resolution camera technologies. The intern will work closely with our engineering team to develop and deploy machine learning models in edge computing environments. This role provides hands-on exposure to computer vision systems, machine learning model deployment, and real-world industrial applications. Key Responsibilities Collaborate with machine learning and software engineers to understand project requirements. Develop and maintain applications connected with high-resolution camera systems. Assist in implementing and testing machine learning models. Deploy and monitor machine learning models in edge environments. Integrate ML models with hardware and software components. Analyze model performance and optimize inference results. Troubleshoot issues related to model deployment and system integration. Document development processes and system updates. Required Skills Basic knowledge of Python programming Understanding of Machine Learning concepts Familiarity with frameworks such as TensorFlow, PyTorch, or Scikit-learn Basic knowledge of Computer Vision or image processing Understanding of edge computing or IoT concepts (preferred) Qualifications Currently pursuing or recently completed B.Tech / B.E / BCA / MCA / Computer Science / Data Science or related field Strong problem-solving and analytical skills Good communication and teamwork abilities Willingness to learn and work on real-world AI applications What We Offer Hands-on experience with Machine Learning and Edge AI systems Opportunity to work on real-world computer vision projects Mentorship from experienced engineers Collaborative and learning-focused work environment Food provided for interns Application Process Interested candidates can apply directly through the Indeed application portal. Job Type: Contractual / Temporary Compensation: 10,000.00 - 12,000.00 per month Benefits: Food provided 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.
