engineering
Posted Apr 16AI Solution Engineer - Operations and Implementation
at Groundswell
Remote
Requirements
- What You'll do: This AI Solution Engineer supports a 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 AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's analytic constructs.
- Responsibilities: Execute ETL pipelines for supply chain data ingestion including customer technical data packages, transformation, and loading into the 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 vulnerability assessments and mitigation planning Participate in data quality
- experience in data science, analytics engineering, ML operations, or AI Proficiency in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or equivalent); 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 Candidate must be eligible to obtain and maintain a Top Secret/SCI security clearance Must be currently located in Huntsville, AL or the Washington, DC Metro area Preferred
- 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)
Benefits
- Experience with PostgreSQL, Snowflake, or similar cloud data warehouse platforms in production analytics environments Skills: Certification: Why You’ll Never Want to Leave: Comprehensive medical, dental, and vision plans Flexible Spending Account 4% 401K Match (immediate vesting) Paid Time Off Tuition reimbursement, certification programs, and professional development Flexible work schedule On-site gym and childcare option The salary range for this role takes into account the wide range of factors that are