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

The ability to obtain and maintain a DHS Suitability
5+ years of experience in Data/ML engineering (if school experience is used, at most that would contribute to 4 years of actual experience)
Experience with ETL, Data Labeling and Data Prep
Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production
Ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize
Bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience and the ability to obtain and maintain DHS Suitability

Senior Data Engineer

Key skills