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
Solid 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
Cooperative and learning-focused work setting
Food provided for interns
Application Process
Interested candidates can apply directly through the Indeed application portal.