Key Responsibilities:

Design and develop AI models and algorithms for edge devices such as IoT devices, drones, and autonomous vehicles
Collaborate with hardware engineers to optimize AI models for efficient execution on edge devices
Conduct research and stay updated with the latest advancements in AI and edge computing
Develop and maintain AI training pipelines and processes
Create and maintain documentation for AI models and algorithms
Work closely with software engineers to integrate AI solutions into our products
Continuously test and evaluate AI models to ensure optimal performance
Troubleshoot and resolve any issues related to AI models and algorithms
Collaborate with cross-functional teams to gather requirements and define project scope
Stay updated with industry trends and best practices in edge AI and contribute to the improvement of our processes and methodologies

Qualifications:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
Proven experience in developing AI models and algorithms for edge devices
Strong understanding of machine learning and deep learning concepts
Experience with common AI frameworks such as TensorFlow, PyTorch, and Keras
Familiarity with edge computing platforms and technologies such as NVIDIA Jetson, Raspberry Pi, and Google Coral
Proficient in programming languages such as Python, C++, and Java
Solid understanding of computer vision and natural language processing
Excellent problem-solving and analytical skills
Strong communication and teamwork skills
Ability to work in a fast-paced and dynamic environment
Experience with Agile methodologies is a plus

As an Edge AI Engineer, you will have the opportunity to work on cutting-edge projects and shape the future of AI and edge computing. You will be part of a diverse team that values collaboration, creativity, and innovation. We offer a competitive salary, benefits, and a dynamic work environment that fosters growth and development.

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