Edge AI & IoT Intern

The Edge AI & IoT Internship presents an exciting opportunity for a passionate, inquisitive, and task-oriented individual to work with a forward-thinking organization dedicated to advancing the world of IoT and Edge AI technology.

Key Responsibilities include:
- Collaborating with cross-functional teams to design, develop, and integrate Edge AI solutions in IoT projects.
- Conducting research and staying updated on the latest advancements in Edge AI and IoT technology to ensure our solutions remain cutting-edge.
- Assisting in the development and testing of AI models, ensuring they perform optimally on edge devices.
- Contributing to the design and implementation of secure, scalable, and efficient IoT architectures for various use cases.
- Collaborating with Data Scientists and Machine Learning Engineers to refine AI algorithms and models for real-time decision making and data processing.
- Assisting in the organization's aim for continuous improvement by identifying potential areas of optimization in our Edge AI and IoT solutions.

The successful candidate should possess:
- Undergraduate or graduate degree in Computer Science, Electrical Engineering, or a related field. Experience in Master's or PhD studies in AI, Machine Learning, or a related field is a plus.
- Knowledge of Edge AI and IoT technologies, with a strong understanding of their applications and limitations.
- Familiarity with Python, C++, and Java, with a strong programming proficiency.
- Experience in AI and ML frameworks, such as TensorFlow, PyTorch, and Scikit-learn.
- Strong problem-solving skills, with the ability to work independently and as part of a team.
- Excellent communication and collaborative skills, with the ability to explain complex concepts effectively to both technical and non-technical audiences.
- A strong passion for technology and innovation, with a thirst for continuous learning and improvement.

This internship offers a unique opportunity to work on the forefront of technology, gaining hands-on experience in Edge AI and IoT development. The role provides a stepping stone for a promising career in the field and offers the chance to contribute to innovative projects and initiatives, making a real impact on the organization's success.