Overview
Hybrid
Depends on Experience
Contract - W2
Contract - 8 Month(s)
Skills
Analytics
Apache Spark
Artificial Intelligence
Big Data
Computer Science
Data Science
Databricks
Evaluation
Geographic Information System
Git
Graph Databases
Information Technology
Machine Learning (ML)
Management
Mentorship
Microsoft Azure
NATURAL
Publications
Python
Research
SQL
Science
Statistics
Training
Unstructured Data
Unsupervised Learning
Version Control
GIS
Graphdb
Azure Databricks
SQL Databases
Spark
R
Large Language Model
LLM
Job Details
Beacon Systems, Inc, delivers Program Management, Science, Engineering, and Technology Solutions to Federal, Commercial State, and Local Agencies. We are a subsidiary of Radiant Digital Solutions. Our Technology support to many DoD Agencies, NASA, Voice of America, FDA, and State Agencies such as State of FL, RI, MS, ND, VA, and WV extends our delivery of solutions worldwide.
We are looking for a Agentic Data Engineer - Hybrid - Richmond, VA
If you are interested in applying for this requirement, please do respond with your updated resume.
Position Title: Artificial Intelligence Engineer - Agentic Data Engineer
Location: Hybrid - Richmond, VA
Contract Term: 5 months, with possible renewal based on performance, need, and budget.
Contract Term: 5 months, with possible renewal based on performance, need, and budget.
Short Description:
Resource will need to be in Richmond, VA quarterly.
Complete 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:
- Gather business needs and translate them to analytics.
- Produce code that is clearly documented and maintain a version-control system.
- Develop machine learning models that will address business needs.
- Effectively communicate analytics results to a range of stakeholders.
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.
Skills:
Skills | Required/Desired | Amount |
Advanced proficiency in Python and/or R | Required | 10 |
Knowledge of SQL Databases | Required | 10 |
Experience with Spark, GraphDB, Azure Databricks | Required | 5 |
Experience training LLMs with structured and unstructured data sets | Required | 4 |
Experience with Machine Learning | Required | 4 |
Experience with GIS spatial data | Required | 2 |
Ph.D. in a STEM field (Natural sciences, Computer Science, Statistics) | Nice to have |
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