AI & IoT Intern
Location: [Remote]
Duration: 3 months, potential for full-time conversion
About the role:
We are seeking an intern to develop and deploy machine learning models on IoT edge devices. You will work on real-time sensor data processing, model optimization, and embedded system integration.
Key responsibilities:
· Train and optimize lightweight ML models (TensorFlow Lite, ONNX Runtime)
· Implement IoT data pipelines using MQTT, WebSockets, or similar protocols
· Deploy models to edge hardware (Raspberry Pi, ESP32, or NVIDIA Jetson)
· Profile and improve inference latency, power consumption, and memory usage
Required qualifications:
· Proficiency in Python; familiarity with C/C++ is a plus
· Hands-on experience with at least one IoT platform (Arduino, ESP, or Raspberry Pi)
· Basic understanding of ML model training and quantization
· Enrollment in Computer Science, EE, or a related field
Preferred:
· Exposure to AWS IoT Core, Azure IoT Hub, or Google Cloud IoT
What we offer:
· Competitive stipend
· Mentorship from senior AI and embedded engineers
· Access to hardware lab and test equipment
To apply:
Please send your resume and a link to a relevant project (GitHub, portfolio, or brief documentation) via LinkedIn or the email below.
[email protected]