Staff AI/ML Engineer, Data Exchange

Come join the team as a Staff Machine Learning Engineer.

Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.

You will utilize your skills to help develop and maintain machine learning models, using both analytical algorithms and deep learning approaches, that will be leveraged by critical backend systems of our Data Acquisition Platform.

In this role, you will:
Lead and apply best practices in ML Project lifecycle management: scoping, data preparation, deployment, and monitoring.
Collaborate with multiple teams and contribute to components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.
Be expected to help architect, integrate, optimize, deploy, and code data pipelines and ML models at scale using the latest industry tools and techniques.

Responsibilities:
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.