Design and ingest data from different Object Management Systems that support mission operations for a classified customer.
Requirements
5+ years of experience in Data/ML engineering
Strong Experience with ETL, data labeling, and data preparation
5+ years experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka
Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+
Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML.
operationalizing and maintaining AI/ML models in production.
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.
designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+
designing, implementing, and maintaining data architecture and services to be used for AI/ML.
operationalizing and maintaining AI/ML models in production.
Other
Minimum 7 years experience
Must be a U.S. citizen with the ability to obtain and maintain a TS/SCI security clearance with CI Polygraph
Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.