AI/ML and Data Science Specialist
11 hours ago
F&A Global is seeking a skilled AI Model Developer to design, develop, and deploy AI models on microchips. The ideal candidate will possess a strong background in artificial intelligence, machine learning, and embedded systems, coupled with practical experience in programming microcontrollers.
Key Responsibilities- Design, develop, and optimize machine learning algorithms tailored for embedded systems, ensuring high performance in resource-limited environments.
- Program microcontrollers using low-level programming languages such as C or C++, MicroPython, Rust, Java, Ada, and Assembly, enabling the execution of AI models on silicon-based hardware.
- Utilize techniques such as quantization, pruning, and knowledge distillation to reduce the computational load and memory requirements of AI models for effective deployment on microchips.
- Conduct rigorous testing of AI models on deployed microchips to evaluate accuracy, performance, and reliability. Debug and refine models based on testing outcomes.
- Work with cross-functional teams, including hardware engineers, to ensure seamless integration of AI solutions into existing systems.
- Address any hardware-software interfacing challenges.
- Create comprehensive documentation detailing the design, development, and deployment processes of AI models, contributing to knowledge sharing within the team.
- A Bachelor's or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.
- Proven experience in developing AI models, with a strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience in embedded systems programming, particularly with microcontrollers and microprocessors.
- Familiarity with low-power AI algorithms and optimizations for operational efficiency on embedded hardware.
- Proficiency in programming languages such as Python, C, or C++, MicroPython, Rust, Java, Ada, and Assembly.
- Familiarity with AI model optimization techniques for embedded systems.
- Strong understanding of neural networks, algorithms, and data structures.
- Experience with hardware design concepts and interfaces.
- Excellent problem-solving abilities, with a keen ability to analyze complex systems and optimize both algorithms and hardware.
- Effective verbal and written communication skills to convey complex concepts to technical and non-technical stakeholders.
- Opportunity to work on innovative projects that push the boundaries of AI technologies in embedded systems.
- Competitive salary and comprehensive benefits package.
- A collaborative and inclusive work environment that fosters professional growth and development.
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