Principal Machine Learning Engineer, GenAI/LLM, MCP, Python/Golang

Red Hat

Principal Machine Learning Engineer focusing on NLP and Generative AI at Red Hat. Leading end-to-end ML system ownership and cross-functional collaboration in a hybrid work environment.

Posted 6/16/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

AWSGoJavaMicroservicesPythonRust

About the role

Key responsibilities & impact

Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks.
Contribute to the design, implementation, and delivery of AI platform capabilities & agentic solutions from concept to production.
Design, build, and evolve ML pipelines that cover data ingestion, preprocessing, feature engineering, training, validation, deployment, and monitoring.
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.
Design, build, and evolve MCP servers and Agents that enable Red Hatters to do business efficiently.
Troubleshoot and resolve production incidents, root-cause errors, data drifts, performance regressions, or infrastructure issues.
Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs.
Mentor more junior engineers, lead code reviews, and help establish ML lifecycle and quality standards.

Requirements

What you’ll need

Bachelor’s degree or above in Computer Science, Math, Computational Linguistics, Computer Engineering, or related fields.
8+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face.
Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle.
Deep understanding of machine learning frameworks and experience in Generative AI application development.
Exceptional software engineering skills in a general-purpose programming language (e.g., Python, Go, Java, Rust).
Familiarity with LangGraph, LangChain, Autogen and/or Python/Java-based AI libraries for GenAI applications.
Experience developing highly scalable backend microservices in AWS.

Benefits

Comp & perks

Health insurance
Professional development opportunities
Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

NLPGenerative AIPythonSpacyHugging Facemachine learning frameworksdata science lifecyclebackend microserviceshyperparameter tuningfeature engineering

Soft Skills

mentoringcollaborationleadershipproblem-solvingcommunication