Work with AI team members to operationalize data pipelines and ML tasks.
Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities.
Present results to a diverse audience in presentation or report form.
Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.

Requirements

Active Secret Clearance
Bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
5+ years of on-the-job experience in Data/ML engineering; Advanced degree may be considered for at most up to 2 years towards the years of experience requirement
Experience with ETL, Data Labeling and Data Prep
Experience with DataBricks, Python, and SQL
Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
Ability to work independently/with minimal oversight
You're a team player, passionate, and have a strong work ethic

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonData EngineeringETLData LabelingData PreparationMachine LearningDataBricksSQL

Soft Skills

Strong communication skillsAbility to work independentlyTeam playerPassionateStrong work ethic

Certifications

Active Secret Clearance