Implements and maintains AI pipelines with MLOps best practices, leveraging tools like Azure ML, Databricks, AWS SageMaker, and Vertex AI
Ensures high availability, reliability, and performance of AI systems through rigorous testing, monitoring, and optimization
Works with agentic frameworks such as LangChain, LangGraph, and AutoGen to build adaptive AI agents and workflows
Collaborates with architects and scientists to transition AI models from research to fully functional, high-performance production systems.
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Artificial Intelligence Engineer • Dallas, TX, United States
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