Leading AI Architect with Expertise in Large Language Models
5 days ago
At Intuit, we are seeking a highly experienced Principal Machine Learning Engineer to join our AI Synapse team. This dynamic role offers an exceptional opportunity to lead the design, development, and deployment of cutting-edge AI/Machine Learning solutions for Intuit's suite of financial products.
About the RoleThe successful candidate will be responsible for architecting systems that drive quantifiable customer benefits through Large Language Models (LLMs) and Multimodal Language Models. You will collaborate closely with Data Scientists and Data Engineers to create end-to-end systems that solve complex problems in document comprehension, LLM training, and multimodal data understanding.
Main Responsibilities- Design and Deployment: Lead the implementation and deployment of Machine Learning-based systems for challenging problems like document comprehension, fine-tuning LLMs, and multimodal data understanding.
- System Architecture: Develop robust model training and evaluation frameworks, as well as deploy models in production to drive quantifiable customer benefits.
- Innovation Acceleration: Build quick prototypes for experimentation and scale successful prototypes into deployed production systems.
- Tech Roadmap: Create a multi-year tech roadmap to stay on the leading edge of the rapidly evolving Artificial Intelligence landscape and leverage best-in-class technologies.
- Key Decisions: Drive key architectural decisions and contribute to Intuit's ML platform architecture and strategy.
- Technical Excellence: Champion technical excellence and operational rigor.
- Mentorship: Mentor junior team members to help them grow their skills and expertise.
We are looking for a highly skilled and experienced professional with:
- A Master's or Ph.D. in Computer Science with a focus on Machine Learning/AI; equivalent experience will be considered.
- 10+ years of experience developing and deploying machine learning-based solutions in production environments.
- Strong Computer Science fundamentals including data structures, algorithms, performance complexity, and implications of computer architecture on software performance.
- Expertise in programming languages like Python, Java, or Scala and modeling frameworks like TensorFlow, PyTorch.
As a valued member of our team, you can expect a competitive salary, opportunities for growth and development, and a dynamic work environment.
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