GenAI NLP ML Engineer

GenAI NLP ML Engineer Location: Austin TXKey Responsibilities:10+ yrs experience minimum Collaborate and manage with data science, engineering, and GenAI teams to deploy and scale machine learning and generative AI models. Operationalize complex ML and GenAI models into production environments, ensuring end-to-end deployment and monitoring. Apply knowledge of standard ML algorithms (Regression, Classification), NLP concepts (sentiment analysis, topic modeling, TF-IDF), and Generative AI techniques (LLMs, prompt engineering, embeddings).Apply knowledge of Retrieval Augmented Generation using embedding models and Vector databases. Manage delivery of GenAI/LLM features (prompt engineering, evaluation metrics, retrieval patterns, guardrails) and productionizing Q&A/assistant workflows. Lead Platform and Dev Ops: CI/CD, containerization, observability, and environment automation in a major cloud - ideally working experience on Google. Utilize Python and ML/GenAI libraries such as scikit-learn, PySpark, pandas and Hugging Face Transformers for model development and optimization. Design, develop, and maintain adaptable data pipelines tailored to use-case-specific requirements. Integrate ML and GenAI use cases into business workflows, ensuring seamless data exchange with upstream and downstream systems. Build and maintain pipelines for model performance metrics, supporting Model Risk Oversight and compliance review cadences. Develop runbooks and provide ongoing support for operationalized models to ensure reliability and scalability.