Design and ingest data from different Object Management Systems that support mission operations for a classified customer.
Requirements
8+ years of experience in Data/ML engineering
Expert Experience with ETL, data labeling, and data preparation
8+ years experience with at least 2 of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka
Expert experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+
Expert experience designing, implementing, and maintaining data architecture and services to be used for AI/ML.
Operationalizing and maintaining AI/ML models in production.
Ability to perform data analytics on program related or system related activities.
Responsibilities
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.
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.
Present results to a diverse audience in presentation or report form.
Perform data analytics on program related or system related activities.
Implement methods/algorithms to automate/optimize.
Other
Minimum 10 years experience
Active TS/SCI + CI Poly
Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
