Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks
Drive the development of next-generation AI/ML applications in a highly collaborative environment
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
Evaluate and validate model performance using advanced metrics and set up continuous validation/regression checks
Design, build, and evolve MCP servers and Agents that enable and empower 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 to understand and meet business needs
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

Bachelor’s degree or above in Computer Science, Math, Computational Linguistics, Computer Engineering, or other related fields
5+ 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, including working knowledge of TensorFlow, TensorFlow Serving, Keras, and PyTorch
Experience with LLMs, Embedding models, and Vector Databases
Exceptional software engineering skills that lead to an elegant and maintainable data platform
Proficiency in at least one general-purpose programming language (e.g., Python, Go, Java, Rust, etc.)
Experience with LangGraph, LangChain, Autogen, and/or Python/Java-based AI libraries for GenAI applications
Experience developing highly scalable backend microservices in AWS
Past experience in building enterprise data platforms that have a high level of governance and compliance requirements
Excellent communication, presentation, and writing skills.

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

Key skills