02 Aug
|
Red Hat
|
Bengaluru
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 imp
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