GenAI NLP ML Engineer

Key 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 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.