Associate Analyst Applications Development

Job Responsibilities**

• Design, develop, and optimize AI/ML models for deployment on resource-constrained edge devices (e.g., microcontrollers, specialized AI accelerators).
• Implement efficient inference engines and real-time data processing pipelines at the edge.
• Work with various sensor data (e.g., vision, audio, motion) to develop robust AI applications.
• Collaborate with hardware engineers to select appropriate edge computing platforms and ensure seamless integration of AI solutions.
• Optimize model performance for power consumption, latency, and memory footprint on target hardware.
• Develop and implement MLOps strategies for continuous integration, deployment, and monitoring of edge AI models.
• Conduct performance benchmarking and validation of edge AI solutions.
• Stay abreast of the latest advancements in edge computing, AI hardware, and machine learning algorithms.
• Provide technical guidance and support to cross-functional teams.
• Document designs, architectures, and implementation details thoroughly.

Job Qualifications**

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field.
• 3+ years of experience in AI/ML development, with a strong focus on embedded systems or edge computing (e.g. Raspberry Pi)
• Proficiency in programming languages such as Python and C++.
• Hands-on experience with deep learning frameworks like TensorFlow Lite, PyTorch Mobile, HailoRT or similar.
• Solid understanding of neural network architectures, computer vision, and/or natural language processing.
• Experience with optimizing AI models for edge deployment (e.g., quantization, pruning, knowledge distillation).
• Familiarity with various edge computing platforms and hardware accelerators (e.g., Hailo, NVIDIA Jetson, Google Coral, specialized ASICs).
• Experience with real-time operating systems (RTOS) and embedded software development is a plus.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and interpersonal skills.

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