Intuit Inc.
Principal Data Scientist
Intuit Inc., Jackson, Mississippi, United States,
Intuit is looking for a highly motivated and experienced Principal Data Scientist to join the AI Synapse team. Our charter is to build AI/Machine Learning solutions for Intuit’s suite of financial products that drive quantifiable customer benefit through the state-of-the-art Large Language Models (LLMs) and Multimodal Language Models. You will be part of a vibrant team of Data Scientists and Data Engineers and will be responsible for leading the design, development, and deployment of AI/Machine Learning solutions to solve challenging problems in the space of document comprehension, LLM training (including prompt engineering, fine tuning, etc.), and multimodal data understanding.
Responsibilities
Lead the design, implementation, and deployment of AI/ML based solutions for solving challenging problems like document comprehension, embedding Intuit’s domain expertise in fine tuned LLMs, and multimodal data understanding. Drive focused efforts on end-to-end data quality including monitoring the input data, performing comprehensive evaluation of model performance, and automating the data curation and model retraining processes in the face of evolving data distributions. Accelerate the pace of innovation by building quick prototypes for experimentation and scaling successful prototypes into deployed production systems. Create a multi-year tech roadmap that enables Intuit to stay on the leading edge of the rapidly evolving Artificial Intelligence landscape and harness the best in class technologies to drive customer benefits. Partner closely with business leaders on mission critical projects, starting from a business problem to deliver a comprehensive AI/ML based solution. Champion technical excellence and operational rigor. Mentor junior team mates helping them to grow their skills and expertise. MS / Ph.D. in Computer Science, Statistics, or Applied Mathematics with focus on Machine Learning / Artificial Intelligence; equivalent experience will be considered 10+ years of experience developing and deploying machine learning based solutions that successfully solve challenging customer problems or enable radically new experiences. Strong Computer Science / Data Science fundamentals including data structures, algorithms, performance complexity, data analysis, model training and evaluation, A/B testing, and ongoing model monitoring and maintenance. Expertise in programming languages like Python, Java, or Scala and modeling frameworks like TensorFlow, Pytorch. Demonstrated expertise in AI/Machine Learning especially Large Language Models and associated technologies (like prompt engineering, few-shot learning, supervised fine tuning, …) with focus on Natural Language Understanding and/or Computer Vision. Experience with Machine Learning systems on cloud platforms like AWS, GCP, or Azure is preferred. Excellent communication and collaboration skills with ability to clearly articulate complex technical concepts to both technical and non-technical audience and partner effectively with Machine Learning Engineers, Product Managers, Program Managers, and Product Development Engineers to build solutions that delight our customers.
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Lead the design, implementation, and deployment of AI/ML based solutions for solving challenging problems like document comprehension, embedding Intuit’s domain expertise in fine tuned LLMs, and multimodal data understanding. Drive focused efforts on end-to-end data quality including monitoring the input data, performing comprehensive evaluation of model performance, and automating the data curation and model retraining processes in the face of evolving data distributions. Accelerate the pace of innovation by building quick prototypes for experimentation and scaling successful prototypes into deployed production systems. Create a multi-year tech roadmap that enables Intuit to stay on the leading edge of the rapidly evolving Artificial Intelligence landscape and harness the best in class technologies to drive customer benefits. Partner closely with business leaders on mission critical projects, starting from a business problem to deliver a comprehensive AI/ML based solution. Champion technical excellence and operational rigor. Mentor junior team mates helping them to grow their skills and expertise. MS / Ph.D. in Computer Science, Statistics, or Applied Mathematics with focus on Machine Learning / Artificial Intelligence; equivalent experience will be considered 10+ years of experience developing and deploying machine learning based solutions that successfully solve challenging customer problems or enable radically new experiences. Strong Computer Science / Data Science fundamentals including data structures, algorithms, performance complexity, data analysis, model training and evaluation, A/B testing, and ongoing model monitoring and maintenance. Expertise in programming languages like Python, Java, or Scala and modeling frameworks like TensorFlow, Pytorch. Demonstrated expertise in AI/Machine Learning especially Large Language Models and associated technologies (like prompt engineering, few-shot learning, supervised fine tuning, …) with focus on Natural Language Understanding and/or Computer Vision. Experience with Machine Learning systems on cloud platforms like AWS, GCP, or Azure is preferred. Excellent communication and collaboration skills with ability to clearly articulate complex technical concepts to both technical and non-technical audience and partner effectively with Machine Learning Engineers, Product Managers, Program Managers, and Product Development Engineers to build solutions that delight our customers.
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