Data EngineerRequirements:Strong data engineering fundamentals.Utilize big data frameworks like Spark/Databricks.Training LLMs with structured and unstructured data sets.Understanding of Graph DB.Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks.Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search.Determine effective data partitioning criteria.Utilize data storage system spark to implement partition schemes.Understanding core machine learning concepts and algorithms.Familiarity with cloud computing skills.Strong programming skills in Python and experience with AI/ML frameworks.Proficiency in vector databases and embedding models for retrieval tasks.Expertise in integrating with AI agent frameworks.Experience with cloud AI services (Azure AI).Experience with GIS spatial data to create markers on maps (lat long nearest topology of road, geo-locate between datasets, correlation etc.).Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze data models, connect & correlate information to validate hypotheses, forecast, predict and recommend potential strategies and conduct What-if analysis.Bachelor's or master's degree in computer science, AI, Data Science, or a related field.
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