Machine Learning Specialist
About The Position
The Machine Learning Specialist supports the Innovation and Analysis Section within the Organizational Performance Division, leading the design and deployment of advanced machine learning models and data pipelines to enable data-driven decision-making across the agency. This role develops scalable workflows using Databricks, Spark, and Delta Lake, integrates data from multiple enterprise systems, and ensures compliance with governance and security standards. The position also supervises a Data Engineer, provides technical leadership on predictive modeling, and maintains production ML assets aligned with agency objectives.
Requirements
- Bachelor's degree in computer science or an IT related field or other related technical degree from an appropriately accredited institution and five years progressive experience including at least two years of experience in programming and applications analysis or related work
- Associate degree in computer science or an IT related field or other related technical degree from an appropriately accredited institution and six years progressive experience including at least two years of experience in programming and applications analysis or related work
- An equivalent combination of education and experience
Nice To Haves
- Demonstrated experience developing machine learning models and automated pipelines using Python, Spark, and Databricks.
- Proven proficiency with MLflow for experiment tracking, model registration, and production deployment.
- Documented experience integrating data from multiple enterprise systems into governed analytics environments.
- Experience supervising technical staff and coordinating joint data engineering and ML development tasks.
Responsibilities
- Design, develop, and maintain machine learning models for operational and strategic use cases.
- Build and optimize data ingestion and transformation pipelines using Databricks, Spark, and Delta Lake.
- Implement automated workflows for model training, scoring, and monitoring using MLflow and Databricks Workflows.
- Integrate structured and unstructured data from multiple enterprise systems into governed analytics environments.
- Conduct feature engineering, model evaluation, and performance tuning for predictive modeling initiatives.
- Monitor model drift, data quality, and operational stability to ensure reliable production performance.
- Provide technical consultation on machine learning feasibility, design, and responsible AI practices.
- Develop and maintain technical documentation, reproducible workflows, and audit logs for compliance.
- Supervise and mentor a Data Engineer, coordinating shared responsibilities for pipeline and model development.
- Collaborate with IT, program staff, and leadership to align ML solutions with agency goals and governance standards.
Benefits
- Employees can participate in health insurance options, standard and supplemental retirement plans, and the NCFlex program (numerous high-quality, low-cost benefits on a pre-tax basis).
- Employees also receive paid vacation, sick, and community service leave.
- In addition, paid parental leave is available to eligible employees.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
