Staff AI/ML Engineer, Data Exchange

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve.
Petah Tikva, Israel
Machine Learning
Staff Software Engineer
Hybrid
6+ years of experience
AI · Finance

Description For 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.

Last updated a month ago

Responsibilities For Staff AI/ML Engineer, Data Exchange

  • Design and build systems, which improve machine learning scalability, usability, and performance
  • Own end-to-end model development lifecycle, including defining problems, featurization in distributed process systems, model exploration, and development, deployment, and model performance monitoring
  • Collaborate with stakeholders to define success criteria and align model metrics with business goals
  • Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
  • Explore the state-of-the-art technologies and apply them to deliver customer benefits
  • Roughly 50% hands-on coding

Requirements For Staff AI/ML Engineer, Data Exchange

Java
Python
Scala
  • 6+ years industry experience bringing AI models from modeling to production
  • Experience in modern, advanced analytical tools and programming
  • Expertise and experience in data mining algorithms and statistical modeling techniques
  • Strong understanding of the Software design and architecture process
  • Experienced with working in cloud production-grade high-scale microservices environment
  • Proficiency in languages such as Python, Java, or Scala
  • Expertise with Spark for data manipulation and featurization
  • Efficient in SQL, Hive, or SparkSQL
  • Comfortable in Linux environment
  • Familiar with backend services: K8S, Spring Boot, Vert.x, Docker
  • Excellent oral and written English communication skills
  • BS, MS, or PhD in an appropriate technology field, or equivalent work experience

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