

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 in Richmond, VA, with a contract length of "unknown" and a pay rate of "unknown." Requires 10+ years of experience in data science, advanced proficiency in Python/R, and knowledge of SQL databases.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 10, 2025
π - Project duration
Unknown
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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
#Data Engineering #Data Framework #Databases #Azure Databricks #Spark (Apache Spark) #Statistics #ML (Machine Learning) #R #Big Data #AI (Artificial Intelligence) #Azure #Data Science #Python #GIT #SQL (Structured Query Language) #Computer Science #Databricks #Supervised Learning #Spatial Data #Unsupervised Learning
Role description
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Resource will need to be in Richmond, VA Quarterly (Hybrid)
Both Phone and F2F Interview is required - 2 Openings
The Virginia Department of Transportation's Information Technology Division is seeking a highly skilled Artificial Intelligence Engineer 4- Agentic Data Engineer to design, develop, train and deploy data models that leverage agentic AI that solve real-world problems.
Responsibilities:
β’ Gather business needs and translate them to analytics.
β’ Produce code that is clearly documented and maintain a version-control system.
β’ Develop machine learning models that will address business needs.
β’ Effectively communicate analytics results to a range of stakeholders.
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/Desired Skills
Advanced proficiency in Python and/or R β 10 Years
Knowledge of SQL Databases β 10 Years
Experience with Spark, GraphDB, Azure Databricks β 5 Years
Experience training LLMs with structured and unstructured data sets β 4 Years
Experience with Machine Learning β 4 Years
Experience with GIS spatial data β 2 Years
Nice to Have
β’ Ph.D. in a STEM field (Natural sciences, Computer Science, Statistics) β 0 Years