AI Data Architect

4 days ago

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Leidos

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Defense • Intel • Sensors • Health Systems • Enterprise IT

10,000+

Description

• 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

Requirements

• 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 • Proficient in data exploration techniques and tools such as Amazon Web Services (AWS)

Benefits

• Competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement