Applied Production Machine Learning Engiineer

About the role

At Fiserv, you build production machine learning software that powers real-time decisioning at scale across payments and financial services. You turn model concepts into dependable services and data pipelines with strong performance, observability, risk controls, and operational discipline. You partner with product, data science, and platform engineering teams to improve decisions, reduce losses, accelerate operations, and enhance client experience.

Responsibilities

• Architect, design, and implement scalable machine learning models and real-time inference services for high-throughput, low-latency decisioning in production financial workflows.
• Build and optimize data ingestion, feature, and API-driven services using Python, Java, or Scala with Spark, Kafka, Airflow, Snowflake, and Databricks to support reliable real-time decisions.
• Strengthen production reliability by monitoring model and data drift, enforcing data pipeline discipline, and applying risk controls across deployed decisioning systems.
• Partner across product, data science, and engineering teams to translate complex business requirements into technical specifications, deployable ML solutions, and dependable automated decisioning systems.
• Conduct structured experimentation with TensorFlow and PyTorch, and deploy and operate ML applications using Docker and Kubernetes in cloud environments with release automation, monitoring, and continuous optimization.

Requirements

• 9+ years of experience in machine learning and data science.
• 9+ years of experience deploying AI solutions in cloud environments.
• 7+ years of experience leading large-scale projects in a matrixed environment across project delivery, consulting, or engineering.
• Bachelor’s degree in computer science, data science, or a related field.

Skills

Nice to have:

• 8+ years of experience in the financial services industry.
• 7+ years of experience with Python, Java, or Scala, including hands-on use of ML frameworks such as TensorFlow, Keras, or Scikit-learn.
• 6+ years of experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra.

This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont, Virginia, Maine or Washington.