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Company

Leidos · 2 days ago

AI Data Architect

United States

Full-time

Remote

Senior Level, Lead/Staff

$144K/yr - $261K/yr

10+ years exp

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ComputerGovernment

Actively Hiring

No H1B

Security Clearance Required

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Responsibilities

Work with and lead a team of data scientists and data engineers on defining and creating scalable AI data architecture strategy

Identify risks and constraints of AI infrastructure at scale and implement mitigations and workarounds

Create project plan, milestones and lead the team to Implement the AI data architecture strategy

Lead the design and implementation of data access controls to produce a data transformation pipeline that discovers, repairs, logs, and deploys quality data plus security policy metadata

Work with a team to design, build, train, and evaluate machine learning models

Be the liaison between executive level leadership, research team and other stakeholders across Leidos.

Communicate results and methods for solutions to internal and external stakeholders.

Work within teams of AI/ML researchers and engineers using Agile development processes

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data architecture at scaleAI infrastructurePython programmingMachine learning algorithmsData repositoriesETLData operationsStatistical modelingData visualization toolsMLOps toolsGenerative AI applicationsSQLR programmingData exploration techniquesAWS

Required

Bachelor's degree in Computer Science, Data Science or related field and over 16 years of relevant experience, Masters with 14 years experience, or PhD with 10 years experience.

Experience with data architecture at scale and AI Infrastructure

Experience with data categorization, labeling and tagging

Experience with data repositories and ETL

Experience with Data Operations including applying AI for data curation

Strong Python programming fundamentals

Good understanding of machine learning algorithms, tools and platforms

Experience with AI/ML tools, such as common Python packages (e.g., scikit-learn, NumPy, Pandas)

Experience with tabular data analysis using languages such as SQL, R, and/or Python

Experience with statistical modeling and data analysis

Experience with leading research projects and project teams

Experience with planning and execution

Great communication skills, able to explain model results to a non-technical audience