Bachelor's degree in computer science, artificial intelligence, or related technical discipline or equivalent practical experience 10+ years of industry experience in software design, development, with a focus on AI, machine learning, algorithms and solution architecture. Proven experience in leading and designing customer-facing AI/ML applications with a focus on audio & video detection, analysis. Hands-on experience with open-source AI/ML frameworks/libraries/language-models such as OpenCV, TensorFlow, PyTorch, Whisper, llama, etc. Experience with DevOps, DataOps, MLOps & AIOps workflows, including CI/CD automation for AI models. Strong knowledge and experience in major enterprise backend programming languages such as C#, C++, Node-JS, Python, etc. and in major databases SQL or NoSQL. Strong knowledge of front-end, back-end, and database management. Strong knowledge and experience in cloud/edge hybrid application architecture for both Windows edge and Android edge 5+ years in an architect or technical leadership position Experience working with cloud platforms such as Azure, GCP or AWS Knowledge & experience in in front-end technologies, including JavaScript, CSS3 and HTML5 and third-party libraries such as ReactJS, Angular, jQuery and LESS Deep understanding of software development best practices and AI governance. Highly capable of debugging, troubleshooting and resolving software issues Excellent knowledge of the software development tools and IDE, such as Github, Visual Studio, etc. Comfortable navigating and building throughout the entire stack and switching into implementation/coding ownership as needed. Strong problem-solving and communication skills, with the ability to engage cross-functional stakeholders and navigate through uncertainty. Demonstrated high ownership and experience leading the development of products from the ground up in a fast-paced, collaborative environment. Passion for learning, staying up-to-date with new technologies, and sharing knowledge with the team Ability to communicate orally and in writing with both technical and non-technical staff. Ability to adapt to changing technology and priorities. Strong analytical thinking skills. Thorough with careful attention to detail