Aleknagik Technology, LLC (ATL) · 1 week ago
Technical AI_ ML Engineer
Aleknagik Technology, LLC is searching for a qualified candidate to fill the role of Technical AI / ML Engineer. This position supports enterprise-level data governance initiatives for a federal health organization by designing and operationalizing responsible AI and machine learning capabilities that enhance metadata management and data quality.
IT ManagementSoftwareTechnical SupportWeb Design
Responsibilities
Design and deploy ML-assisted techniques to infer business meaning from technical metadata, including schema analysis and pattern recognition
Implement natural language processing (NLP) models to generate draft data dictionary entries, business glossary terms, and contextual metadata descriptions
Integrate AI-generated outputs into governed, human-in-the-loop workflows for data steward review and approval
Ensure AI-generated metadata is explainable, auditable, version-controlled, and traceable
Develop machine learning models to detect data quality issues such as anomalies, completeness gaps, schema drift, and degradation
Generate and integrate data quality indicators and trust scores aligned with VAULTIS “Trusted” principles
Support automated classification and compliance tagging for PII, PHI, CUI, and other sensitive data indicators
Align classification outputs with policy enforcement, access control, and audit mechanisms
Apply ML techniques to infer data lineage and semantic relationships where native lineage is incomplete
Validate inferred lineage and relationships through governance workflows prior to enterprise exposure
Design AI/ML workflows that operate in situ within DHA-approved environments, minimizing unauthorized data movement
Integrate AI services into enterprise catalogs, repositories, and federated platforms using APIs and modular architectures
Implement Responsible AI practices including transparency, explainability, bias monitoring, and human oversight
Document model purpose, training context, limitations, and validation results in accordance with DoD AI guidance
Support AI-enhanced self-service discovery capabilities such as semantic search and relevance ranking
Participate in user acceptance testing (UAT), usability evaluations, and adoption assessments
Analyze user feedback, telemetry, and performance metrics to refine models and improve effectiveness
Develop technical documentation, operational playbooks, and sustainment guidance
Support optional federated governance and AI-enabled data product lifecycle initiatives when exercised
Qualification
Required
4–7 years of experience in applied machine learning and natural language processing (NLP)
4–7 years of experience in data quality assessment, anomaly detection, and trust scoring techniques
4–7 years of experience in metadata management and enterprise data catalog platforms
4–7 years of experience in Python, SQL, and modern ML frameworks
4–7 years of experience in responsible AI, model governance, and explainability practices
4–7 years of experience in API integration and scalable deployment patterns
4–7 years of experience in DoD, DHA, or federal security and compliance environments
Bachelor's degree in a related field, such as Engineering, Information Technology, Data Science or Analytics, Mathematics, Physical or Life Sciences
Company
Aleknagik Technology, LLC (ATL)
Aleknagik Technology, LLC (ATL) is an independent Alaska Native Village Corporation (ANC) with no affiliation to other ANCs.
Funding
Current Stage
Growth StageCompany data provided by crunchbase