MetroStar is a company dedicated to building exceptional teams and delivering technology services. In this role, you will work with a cross-functional team to design and ingest data from various Object Management Systems, operationalize data pipelines, and support architectural leadership in a classified environment.
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
- 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:
- Minimum 7 years' experience in Data/ML Engineering
- Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
- Secret clearance and/or T1 background investigation
- Strong Experience with ETL, data labeling, and data preparation
- 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. Additionally, 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