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.

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Experience : years

Vacancy : 1