

AI Engineer - Agentic Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer - Agentic Data Engineer in Richmond, VA (Hybrid) for a 6+ month contract. Requires 15+ years of experience in AI/ML, proficiency in Python/R, SQL, and Big Data tools. Local candidates only.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 9, 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
#Azure Databricks #Computer Science #Version Control #Spark (Apache Spark) #Databricks #Model Evaluation #Databases #R #Scala #AI (Artificial Intelligence) #Data Engineering #SQL (Structured Query Language) #Documentation #ML (Machine Learning) #Data Science #Automation #Azure #Supervised Learning #Big Data #Datasets #Python #GIT #Spatial Data #Statistics #Unsupervised Learning
Role description
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Job Title: AI Engineer β Agentic Data Engineer
Location: Richmond, VA (Hybrid β Local Candidates Only)
Duration: 6+ Months
Experience Required: 15+ Years
Interview Mode: Video Interview
Note: Candidate must have a valid DL and be local to Richmond, VA
NEED ONLY 15+ CANDIDATE
NEED ONLY LOCAL CANDIDATE WITH LOCAL DL TO VA
Job Description:
We are seeking a highly experienced AI Engineer β Agentic Data Engineer to join a state government initiative focused on leveraging advanced AI/ML technologies to drive data insights, automation, and decision intelligence.
Responsibilities:
β’ Gather business needs and translate them into actionable analytics and ML models.
β’ Develop well-documented, maintainable, and version-controlled code.
β’ Build, train, and optimize machine learning models to solve real-world business problems.
β’ Communicate complex data insights to technical and non-technical stakeholders effectively.
β’ Collaborate with cross-functional teams to define analytic requirements and data strategies.
Required Qualifications:
β’ 10+ years leading data science or AI/ML projects or teams.
β’ Proven experience with supervised/unsupervised learning, model evaluation, and feature engineering.
β’ Strong background in Big Data tools such as Spark or Azure Databricks.
β’ Deep knowledge of Python and/or R (minimum 10 years).
β’ Expertise in working with SQL databases and managing large-scale datasets.
β’ Experience training LLMs (Large Language Models) with structured and unstructured data.
β’ Experience using version control tools such as Git.
β’ Strong ability to translate regulatory, business, or research objectives into scalable ML/AI pipelines.
β’ Exceptional communication, documentation, and stakeholder collaboration skills.
Nice To Have:
β’ Ph.D. in Computer Science, Data Science, AI, or a STEM-related field.
β’ Experience with GIS spatial data.
β’ Peer-reviewed publication record in ML, statistics, or computational science.
Skill
Required/Desired
Experience (Years)
Advanced proficiency in Python and/or R
Required
10+
Knowledge of SQL Databases
Required
10+
Experience with Spark, GraphDB, Azure Databricks
Required
5+
Training LLMs with structured/unstructured datasets
Required
4+
Machine Learning (ML) model development
Required
4+
Experience with GIS spatial data
Required
2+
Ph.D. in a STEM discipline
Nice to Have
β
Thanks and Regards π
Mohammad Athar
Technical Recruiter
Email : m.athar@sibitalent.com
Web: www.sibitalent.com