AI Solution Engineer- Ops

Location: Huntsville, AL or Washington, DC Required Clearance: TS/SCI Eligible Required Education: HS/GED Required Experience: Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI Hybrid: 3 days of onsite/ 2 days remote Position Description This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model operations within the operations and implementation branch. The engineer works under the technical direction of an Exiger AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's Red Team and Blue Team analytic constructs Responsibilities • Execute ETL pipelines for supply chain data ingestion including customer technical data packages, transformation, and loading into the Exiger environment • Run and monitor ML model inference jobs, flagging anomalies and performance degradation to the lead • Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt, or equivalent) • Produce analytics outputs that feed Red Team vulnerability assessments and Blue Team mitigation planning • Participate in data quality validation workflows and contribute to confidence scoring documentation • Support iterative analytics configuration re [... source excerpt omitted ...] quivalent); working knowledge of relational and cloud data platforms (PostgreSQL, Snowflake, or equivalent) • Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources • Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent) • Experience working under technical oversight in an integrated government delivery team • Strong documentation practices and ability to maintain auditable process records Desired Qualifications • Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data s [... source excerpt omitted ...] on practices and ability to maintain auditable process record • Experience with supply chain data, entity resolution, or risk analytics • Familiarity with government data handling requirements (CUI, NIST 800-171) • Experience with containerized deployments (Docker/Kubernetes) • Experience with PostgreSQL, Snowflake, or similar cloud data warehouse platforms in production analytics environments About PingWind PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvemen