GenAI NLP ML Engineer

• 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 DevOps: 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.