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
- Robust 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 workplace
- Food provided for interns
Application Process
Interested candidates can apply directly through the Indeed application portal.