Ai Brainer
Generative AI - Executive Director
Ai Brainer, Jersey City, New Jersey, United States, 07390
The Chief Data and Analytics Office (CDAO) organization drives artificial intelligence (AI) adoption across the company while overseeing data governance and controls. The role involves optimizing LLM aided AI products and developing scalable LLM-based products alongside cross-functional teams. By fostering innovation and delivering efficient solutions, the position ensures APIs are designed for scalability to support a high volume of requests. This role is critical in bridging scientific research and software engineering to enhance data and analytics strategies.
Required Qualifications and Skills
A PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics is required. Candidates should have a minimum of 10 years of experience in ML engineering, with a proven history of building and leading teams. A solid understanding of statistics, optimization, and ML theory is essential, particularly regarding NLP and Computer Vision. Hands-on experience with scalable applications and the ability to construct and design production architectures are critical qualifications for this role. Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
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A PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics is required. Candidates should have a minimum of 10 years of experience in ML engineering, with a proven history of building and leading teams. A solid understanding of statistics, optimization, and ML theory is essential, particularly regarding NLP and Computer Vision. Hands-on experience with scalable applications and the ability to construct and design production architectures are critical qualifications for this role. Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
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