Staff AI/ML Engineer, Data Exchange

Intuit is seeking a Staff Machine Learning Engineer to join their Data Exchange group. This role is responsible for developing and maintaining machine learning models using both analytical algorithms and deep learning approaches for Intuit's Data Acquisition Platform. The ideal candidate will lead and apply best practices in ML Project lifecycle management, collaborate with multiple teams, and help architect, integrate, optimize, deploy, and code data pipelines and ML models at scale.

Key responsibilities include:

• Designing and building systems to improve machine learning scalability, usability, and performance
• Owning the end-to-end model development lifecycle
• Collaborating with stakeholders to define success criteria and align model metrics with business goals
• Working with product managers, business analytics, data scientists, and backend engineers
• Exploring state-of-the-art technologies and applying them to deliver customer benefits

The role requires 6+ years of industry experience bringing AI models from modeling to production, expertise in data mining algorithms and statistical modeling techniques, and strong understanding of software design and architecture. The ideal candidate should be proficient in languages such as Python, Java, or Scala, have expertise with Spark for data manipulation, and be familiar with backend services like K8S, Spring Boot, Vert.x, and Docker.

Intuit offers a collaborative environment where you'll work on critical backend systems and contribute to components in different business units. This is an excellent opportunity for someone who loves to lead change, communicate with customers, and deliver intuitive applications in the field of AI and machine learning.