- 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.
- 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. GovernmentResponsibilities
- 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
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