

Artificial Intelligence Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in Richmond, VA, offering a hybrid work arrangement. Contract length and pay rate are unspecified. Requires 10+ years of experience, expertise in machine learning, and proficiency in Big Data frameworks and version control systems.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 11, 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
#ML (Machine Learning) #Databricks #Big Data #Data Science #GIT #AI (Artificial Intelligence) #Spark (Apache Spark) #Unsupervised Learning #Data Framework #Computer Science #Supervised Learning #Data Engineering
Role description
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Role: Artificial Intelligence Engineer
Location: Richmond, VA
Hybrid
Job Description:
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.