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GenAI NLP ML Engineer

United IT Solutions

Role: GenAI NLP ML Engineer

Location: Austin TX

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.
Vacancy posted 10 hours ago
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