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.