GenAI NLP ML Engineer

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 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 monitorin...