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.
- Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
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
- Present results to a diverse audience in presentation or report form.
- The candidate's professional background and relevant work experience
- The specific responsibilities of the role and organizational needs