PROS
Machine Learning Engineer II
USA TX Houston Hybrid, USA · Mid
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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.
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.
- 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.
- Stay curious and adaptable, continuously experimenting with AI-driven solutions to elevate team performance and customer impact.
Company info
- We are passionate about what we do and relentless in delivering on our promises.
- At PROS, we foster a culture of care, where people feel supported to grow, innovate, and bring their best selves to work-every day.
This listing is sourced directly from PROS's careers page and normalized into a canonical job model.