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Data Curation Ai Machine Learning Jobs in Virginia

Lead Edge AI/ML Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

Lead the end-to-end development of machine learning pipelines, from data curation and model ... Enhance AI Navigation Fusion: Collaborate directly with PNT engineers to integrate ML into the ...

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Develop and visualize explainable AI metrics and model performance indicators * Incorporate ...

This role supports IT, Cybersecurity, and Data Operations ? Modernization & Innovation and helps ... Lead AI and machine learning initiatives that support modernization, automation, and advanced ...

The ideal candidate brings a strong foundation in machine learning, data engineering, and MLOps ... Deploy AI/ML models into production environments, integrating with existing enterprise systems ...

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Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a Data Curation AI Machine Learning Specialist, and why are they important?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a Data Curation AI/Machine Learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

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What job categories do people searching Data Curation Ai Machine Learning jobs in Virginia look for? The top searched job categories for Data Curation Ai Machine Learning jobs in Virginia are:
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AI / Machine Learning Specialist

AI / Machine Learning Specialist

RIVIDIUM

Alexandria, VA • Hybrid

Full-time

Posted 12 days ago


Job description

RiVidium is seeking an AI / Machine Learning Specialist to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data Operations ? Modernization & Innovation and helps deliver mission-focused outcomes for service members, families, and related stakeholders. Implements PWS C.5.3.13 Innovation initiatives; develops AI/ML models, integrates automation pipelines, and ensures secure deployment in DoD environments. This position is contingent upon contract award.

Key Responsibilities

  • Support design, development, or integration of AI and machine learning capabilities aligned to mission needs.
  • Build or refine models, workflows, and supporting data processes in secure environments.
  • Coordinate with data, engineering, and stakeholder teams to translate use cases into practical solutions.
  • Help ensure AI/ML solutions are measurable, supportable, and responsibly deployed.

Basic Qualifications

  • Bachelor?s degree in a relevant discipline or equivalent professional experience.
  • Relevant experience aligned to the role and labor category; openings may be filled at Mid (5-8 yrs), Senior (10-15 yrs).
  • Ability to satisfy applicable Government personnel security requirements for the assigned role. For IT and cybersecurity workforce positions, applicable DoD 8140 training and certification requirements will apply upon award.
  • Strong communication, teamwork, and documentation skills in a mission-focused delivery environment.

Preferred Qualifications

  • Experience with data pipelines, dashboards, visualization tools, analytics, or reporting automation, as applicable to the role.
  • Ability to translate operational data into actionable insights for technical and non-technical stakeholders.
  • Experience with data quality, governance, and performance metrics in enterprise environments.

Work Setting

This role is expected to support work in the Alexandria, Virginia area, with on-site support at the DoD Mark Center or other customer-approved locations as required. Hybrid support in the Alexandria, Virginia area is expected, with on-site support as required by the customer.