AI Architect

Qualifications

•Define AI performance, accuracy and reliability metrics and implement their consistent measurement

•Architect, develop and maintain scalable systems and infrastructures for data ingestion, transformation, analysis, model hosting, and inference

•Build and deploy AI solutions in multi-cloud environment

•Work on solutions with diverse teams from various functions of the company

•Document and communicate the results and insights of AI projects to exec-level audience

•Ph.D. level degree in artificial intelligence, computer science, engineering, mathematics, or related field; alternatively, a comparable industry career with a proven track record of successful projects

•Experience in developing and deploying industrial grade AI solutions

•Experience in using AI frameworks, trending models and libraries, such as TensorFlow, PyTorch, GPT, Gemini, LaMDA, LangChain, Vertex AI, SageMaker, etc

•Experience in using cloud services and platforms, such as GCP, AWS, etc

•Enthusiasm, strong analytical mind, willingness to learn and desire to make things real

•Excellent communication and presentation skills

•Ability to work independently and in a team

•To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government

Responsibilities

•Provide technical leadership in adopting the latest AI advances into solutions for the benefit of consumers

•Research, architect and implement state-of-the-art AI techniques, such as large generative models, multi-modal models, reinforcement learning, natural language processing, computer vision, etc., for digital safety applications

•Establish best AI practices and follow them across project portfolio