Principal Software Engineer (MLOps)

Intuit is looking for a highly motivated and experienced Principal Engineer (MLOps) to join AI/ML Platform team. Our charter is to build the platform that enables Classic AI and Generative AI solutions at scale. This engineer will be part of a vibrant team of Engineers and will be responsible for leading the design, development, and deployment of end-to-end systems that solve challenging problems with MLOps.

Responsibilities

• B. Tech/M. Tech in computer science or equivalent work experience.
• 10+ years’ experience architecting and designing systems with expertise in developer tools.
• Experience with MLOps on cloud platforms like AWS, GCP, or Azure.
• Expertise in programming languages like Python, Java, or Scala and familiarity with ML modeling frameworks.
• Basic knowledge of AI and Machine Learning.
• Worked on highly complex technical challenges delivering durable platform capabilities leveraged across the organization
• Experience driving for results across cross-functional teams while maintaining effective working relationships
• Self Starter and have a Bias for Action
• High Rigor on Engineering & Operational excellence
• Experience with leveraging, contributing to and leading open source community projects.
• Excellent communication and collaboration skills with ability to clearly articulate complex technical concepts to both technical and non-technical audience
• Collaborate effectively with Data Scientists, Product Managers, Program Managers, and Platform Engineers to build solutions that delight our customer

Qualifications

• 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 our team to stay on the leading edge of the rapidly evolving MLOps landscape and leverage the best in class technologies to deliver customer benefits.
• Drive key architectural decisions and contribute to Intuit’s AI/ML platform architecture and strategy.
• Champion technical excellence and operational rigor.
• Mentor junior team mates helping them to grow their skills and expertise.