About the Job:

The Data And AI team is a highly focused effort to lead digital-first execution and transformation at Red Hat leveraging data & AI strategically for our customers, partners, and associates. The engineering team is focused on building and delivering strategic AI agents built on our Data & AI platform, designed to augment human capabilities, accelerate business workflows, and scale operations across the enterprise.

In this role, you'll take ownership of end-to-end ML systems, champion best practices, and deliver impactful, production-grade models. You’ll work autonomously, mentor others, and collaborate with data, engineering, and product teams to bring AI features into production.

What you will do?

• Design, build, and evolve ML pipelines that cover data ingestion, preprocessing, feature engineering, training, validation, deployment, and monitoring.

• Design, build, and evolve MCP servers and Agents that enable and empower Red Hatters to do business efficiently.

• Translate research prototypes and models into production-quality code, ensuring robustness, scalability, and maintainability.

• Select appropriate algorithms and modeling techniques, perform hyperparameter tuning, and conduct comparative experimentation.

• Evaluate and validate model performance using advanced metrics (e.g. ROC-AUC, precision/recall curves, calibration, fairness, drift) and set up continuous validation/regression checks.

• Collaborate with software engineers, data engineers, and SRE/DevOps to integrate ML services into broader systems.

• Instrument models and systems with monitoring, logging, alerting, and automated healing or scaling mechanisms.

• Troubleshoot and resolve production incidents, root-cause errors, data drifts, performance regressions, or infrastructure issues.

• Mentor more junior engineers, lead code reviews, and help establish ML lifecycle and quality standards.

• Stay current with emerging ML research, frameworks, and tooling, and proactively propose improvements or experiments.

What you will bring?

• Bachelor's degree in Computer Science, Computer Engineering, or related field.

• 10+/7+ years of software development experience with a focus on machine learning pipelines or machine learning applications or building ML platforms

• Exceptional software engineering skills that lead to elegant and maintainable data platform

• Proficiency in at least one general purpose programming language, eg. Python, Go, Java, Rust, etc.

• Loosely held strong opinions and perspectives that you kindly debate, defend, or change to ensure that the entire team moves as one

• Sets and resets the bar on all things quality, from code through to data, and everything in between

• Deep empathy for your users of your platform, leading to a constant focus on removing friction, increasing adoption, and delivering business results

• Prunes and prioritizes work in order to maximize your contributions and impact

• Bias for action and leading by example

• Past experience in building enterprise data platforms that have a high level of governance and compliance requirements

Optional Skills

• Familiarity with open source or inner source development and processes

• Familiarity of data mesh architectural principles

• Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer

• Deep hands on knowledge of Vector Databases, RAG Pipelines is a huge plus.

Personal qualities and communication

• Communication skills and experience in interacting with cross functional business and engineering teams

• Capability in undertaking business needs analysis in direct consultation

• Motivated with a passion for quality, learning and contributing to collective goals

• Excellent communication, presentation, and writing skills

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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