Overview
On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Azure Machine Learning
Azure Computer Vision
Azure Video Indexer
Azure OpenAI models
Azure Media Services
Azure AI Search
Job Details
Agentic AI Data Engineer
Richmond, VA Hybrid & F2F Interview
12 Months
Richmond, VA Hybrid & F2F Interview
12 Months
Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems
Experience training LLMs with structured and unstructured data sets
highly skilled Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems. The ideal candidate will have experience in designing data process to support agentic systems, ensure data quality and facilitating interaction between agents and data.
Responsibilities:
Strong Data engineering fundamentals
Utilize Big data frameworks like Spark/Databricks
Training LLMs with structed 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.
Experience training LLMs with structured and unstructured data sets
highly skilled Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems. The ideal candidate will have experience in designing data process to support agentic systems, ensure data quality and facilitating interaction between agents and data.
Responsibilities:
Strong Data engineering fundamentals
Utilize Big data frameworks like Spark/Databricks
Training LLMs with structed 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.
Regards,
Deva
iBrain Technologies, INC. | A Certified Minority Business Enterprise
Email:
Phone Direct:
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