Collaborate with the data science team through research and development for developing in-line quality ML models for signals and images to solve different problems.

• Design, implement, and verify signal and image processing algorithms to extract information from sensor systems.
• Experience in machine learning algorithms to automatically extract relevant features from signals, enabling more accurate classification, detection, and prediction.
• Proficiency in programming languages commonly used in ML and DL, such as Python, and familiarity with software development practices.
• Experience with deep learning architectures such as CNNs, RNNs, GANs, and familiarity with state-of-the-art models in computer vision.
• Experience in image and signal processing techniques.
• Ability to optimize ML models and algorithms for efficient execution on edge devices, considering limited computational resources.
• Experience in hardware components and their integration with edge devices, including GPUs, sensors, and other peripherals.
• Python Programming skills is a must.

• Bachelor's Degree and 2-5 years of experience in scientific fields including Computer Science, Electrical Engineering, Computer Engineering, and/or Mathematics with a deep learning background required.
• Good analytical and communication skills. Attention to detail, self-motivated.
• Excellent communication skills to work effectively with cross-functional teams and stakeholders.
• Strong organizational skills with a high level of attention to detail and interpersonal skills to work effectively with others.