In order to perform the above-mentioned tasks, the following skills and experience are required: Experience designing and implementing ML-based solutions, including both image classification models and waveform-based ML models; Experience with Python for data science and ML development; Experience with embedded software programming with C++ and OOP, web application development, and databases; Experience integrating ML components into production environments, optimize performance, and ensure scalability across distributed systems; Experience with data preprocessing, feature engineering, and workflow automation for ML models; Experience with containerization (e.g., Docker, Podman) and orchestration tools (e.g., Kubernetes); Experience designing and implementing full-stack AI solutions, from embedded systems to cloud-based services, ensuring robust security and compliance; and Experience with Git, CI/CD pipelines, and automated deployment strategies for ML applications. Requires a Bachelor's degree or foreign equivalent in Data Science, Computer Science or a closely related field, and at least two (2) years of experience in a Data Scientist, Software Engineer or related occupation.