Role 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.
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.
Requirements
- 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.
Skills
- Python
- TensorFlow
- PyTorch
- Computer Vision
- Edge Computing
Benefits
- 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.