The role involves leading the development of high-impact business solutions through data analysis and the creation of machine learning and large language models. The individual will design and implement scalable data processing pipelines and deploy model inference services into production environments. Responsibilities include collaborating with global teams and various business functions to accelerate the adoption of common artificial intelligence capabilities. The position requires hands-on architecture and implementation of solutions powered by machine learning and large language models. The incumbent will also focus on creating innovative technology through solid engineering practices to solve complex business problems.

The role requires a Master of Science degree in Computer Science, Statistics, Mathematics, or Machine Learning. Candidates must possess at least five years of development experience and demonstrate proven leadership capacity in idea generation for artificial intelligence and machine learning. Proficiency in Python programming and knowledge of cloud platforms, data pipelines, and database systems are essential. Additionally, the candidate must have experience using large language models to solve business problems and possess strong communication skills.