PROS

PROS

Machine Learning Engineer II

USA TX Houston Hybrid, USA · Mid

Sponsorship not specifiedDetected 62 days ago
PythonDistributed SystemsDatabricksCloud PlatformsLinuxMachine LearningDeep LearningTensorFlowPyTorchData EngineeringData ScienceAgentic AICustomer SuccessResearchCommunicationCollaborationAdaptability

About the role

  • PROS culture and its extraordinary people are at the core of our success.
  • Our commitment to customer success inspires us to think smarter and dream bigger, empowering airlines to achieve more than they ever imagined through intelligent offer and revenue optimization.
  • From flexible ways of working to continuous learning, we empower our teams to thrive both personally and professionally.

Responsibilities

  • PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue and margin growth.

Requirements

  • Strong proficiency in Python and experience building production-grade ML systems.
  • Hands-on experience with distributed data and ML frameworks such as PySpark, Databricks, and MLflow.
  • Strong understanding of distributed systems, performance tuning, and cost optimization.
  • Experience deploying, monitoring, and maintaining ML models for batch and real-time inference.
  • Familiarity with Linux environments and cloud platforms, preferably Microsoft Azure.
  • Strong communication skills and ability to work independently on well-defined problems.

Nice to have

  • Experience with GPU-accelerated training or inference.
  • Exposure to advanced ML techniques and large-scale optimization problems.
  • Experience improving shared ML platforms, tooling, or libraries used across teams.

Skills

  • Understand core AI concepts and apply them ethically to enhance productivity, insights, and decision-making.
  • Explore and apply agentic AI systems, using or managing autonomous agents to streamline workflows and automate tasks.
  • Leverage AI tools to boost efficiency, creativity, and innovation in their daily work.
  • We Care

Company info

  • By optimizing every customer interaction, PROS helps airlines improve revenue performance and quality, increase commercial agility, attract more customers and build lasting loyalty.

This listing is sourced directly from PROS's careers page and normalized into a canonical job model.