AI/ML SME

Responsibilities

• Evaluate and assess DEA enterprise data holdings identified as possible data sources.
• Develop AI/ML models/techniques to enrich DEA’s data to achieve advantages towards DEA mission.
• Review/analyze and propose different data scientist techniques and implementations that can be considered and implemented to advance DEA’s data enrichment processes.
• Coordinate and facilitate the implementation and maintenance of each model/technique, adjusting and improving as the DEA enterprise data holdings expand.
• Design and implement machine learning or AI models aligned to approved business use cases.
• Select algorithms and training approaches consistent with data type and performance objectives.
• Conduct iterative testing and tuning to achieve required accuracy and performance metrics.
• Document model assumptions, data inputs, and training parameters for reproducibility.
• Conduct independent validation of model results for accuracy, stability, and bias detection.
• Package and deploy the validated model to the designated test or production environment.
• Configure application interfaces, APIs, or automation pipelines required for model operation.
• Conduct functional and security testing to confirm stable integration.
• Establish model monitoring and retraining mechanisms to detect performance drift.
• Develop and deliver comprehensive technical documentation detailing data sources, model design, validation results, and deployment configuration.
• Create AI business case summaries that explain model purposes, value proposition, expected outcomes, and return-on-investment (ROI) for leadership decision making.
• Create briefing materials and presentation decks suitable to upper management or executive review, highlighting business relevance, benefits, and potential integration opportunities.
• Design and implement ETL processes to extract, clean, and standardize source data for model training.

Qualifications

• Strong problem-solving skills and ability to plan and deliver technical solutions independently.
• Excellent written and verbal communication skills.
• Ability to manage multiple priorities and deliver under tight deadlines.
• Strong analytical skills and attention to detail.
• Minimum Qualifications: 5+ years in-depth knowledge of at least one analytical / statistical language (for example: Python, R, and SQL); at least 2 years of custom Machine Learning and AI model training (to include supervised and unsupervised) and Natural Language Processing (NLP) expertise focusing on unstructured data; 3+ years’ experience with SQL database / coding; 2+ years’ experience with data visualization tools; 2+ years’ experience with the ability to manipulate unstructured data.
• Bachelor’s degree in a related field is preferred.

Pay and Benefits

The salary range for this position is $190,000 to $235,000 annually. At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.