

Artificial Intelligence Engineer/Agentic Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer/Agentic Data Engineer for a 5-month hybrid contract in Richmond, VA, offering advanced proficiency in Python/R, SQL, and experience with Spark, LLMs, and Big Data frameworks. A Ph.D. in a STEM field is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 17, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Richmond, VA
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π§ - Skills detailed
#AI (Artificial Intelligence) #Python #Data Framework #Consulting #Data Engineering #Computer Science #Data Science #Azure #Spark (Apache Spark) #Big Data #Databricks #SQL (Structured Query Language) #Statistics #ML (Machine Learning) #GIT #Unsupervised Learning #Databases #Spatial Data #R #Azure Databricks #Supervised Learning
Role description
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At Radiant Digital, we provide IT solutions and consulting services to help government agencies and businesses in the USA, Canada, the Middle East, and Southeast Asia. On the federal side, we support agencies like NASA, the Department of State (DOS), the IRS, ACL, ACF,USDA and many others, along with numerous state and local government agencies.
We work with industries like telecom, healthcare, entertainment, oil and gas offering solutions designed to meet their specific needs. We focus on improving systems, making better use of data, and updating applications to keep up with changing markets.
Position: Artificial Intelligence Engineer - Agentic Data Engineer
Duration: 5 Months plus
Location: Hybrid - Richmond, VA 23219
Qualifications:
β’ Demonstrated ability to perform research and communicate analyses to a wide range of audiences.
β’ Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods.
β’ 10+ years of leading data science projects or teams.
β’ Gathers business requirements needed for analytics.
β’ Experience mentoring or guiding junior team members.
β’ Experience with supervised and unsupervised learning, model selection, feature engineering, and evaluation metrics.
β’ Experience with Big Data frameworks like Spark/Databricks.
β’ Experience with code version-control systems such as Git.
β’ Degree in Computer Science, AI, Data Science, or a related field.
Required skills
Advanced proficiency in Python and/or R
Knowledge of SQL Databases.
Experience with Spark, GraphDB, Azure Databricks
Experience training LLMs with structured and unstructured data sets.
Experience with Machine Learning.
Experience with GIS spatial data.
Ph.D. in a STEM field (Natural sciences, Computer Science, Statistics)