VDOT - Artificial Intelligence Engineer - Agentic Data Engineer
VDOT - Artificial Intelligence Engineer - Agentic Data Engineer
Posted on :
12-07-2025
Employer Active
1 Vacancy
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Job Description
Position: AI Engineer
Location: Richmond VA
Duration: 12 months
Location: Richmond VA
Duration: 12 months
Work: Onsite
Qualifications:
Demonstrated ability to perform research and communicate analyses to a wide range of audiences.
Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods.
10 years of leading data science projects or teams.
Gathers business requirements needed for analytics.
Experience mentoring or guiding junior team members.
Experience with supervised and unsupervised learning model selection feature engineering and evaluation metrics.
Experience with Big Data frameworks like Spark/Databricks.
Experience with code version-control systems such as Git.
Degree in Computer Science AI Data Science or a related field.
Demonstrated ability to perform research and communicate analyses to a wide range of audiences.
Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods.
10 years of leading data science projects or teams.
Gathers business requirements needed for analytics.
Experience mentoring or guiding junior team members.
Experience with supervised and unsupervised learning model selection feature engineering and evaluation metrics.
Experience with Big Data frameworks like Spark/Databricks.
Experience with code version-control systems such as Git.
Degree in Computer Science AI Data Science or a related field.
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)
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)
Employment Type
Full Time
Key Skills
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