Description
The Machine Learning Engineer develops predictive models and machine-learning algorithms, from data exploration through validation and interpretation, using Python, Scikit-learn, XGBoost, LightGBM, Jupyter, Databricks, MLflow, and statistical libraries. The role also evaluates RAG systems, builds text ingestion pipelines for vector databases, develops LangChain and LangGraph APIs integrated with OpenAI and AWS Bedrock, and works with AWS and Azure cloud services, serverless architectures, containerized applications, and document intelligence. The position requires strong Python and machine-learning experience, practical LLM and generative-AI experience, and familiarity with Databricks, LangChain, LangGraph, MLflow, AWS Bedrock, and Azure.
