AI/Machine Learning Engineer and Data Scientist
Employment type
Full-time
Work setting
On-site
Location
Montgomery, AL
Schedule
Day shift
Posted
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Job overview
The AI/Machine Learning Engineer and Data Scientist role is an onsite position in Montgomery, AL. Compensation is not specified. The role supports AI/ML-enabled analytics and modernization initiatives across BMx FoS while protecting operational mission support, cybersecurity controls, and Government data rights. The position develops and evaluates analytics use cases with product, technical, help desk, and operational stakeholders. Its work helps identify trends, forecast workloads, detect anomalies, and support safe, technically supportable modernization aligned with Government priorities and governance requirements.
What you'll do
- Support predictive maintenance analysis, anomaly detection, operational trend analysis, and data-driven modernization
- analyze help desk trends, defect patterns, maintenance workflows, and reporting anomalies
- and contribute to predictive analytics, automated test generation, dashboard enhancement, workload forecasting, and maintenance trend analysis as needed. A DoD Secret clearance is required.
What we're looking for
- Skills & competencies
- ai/ml engineerdata scientistpythonmachine learningnlpdata analyticspredictive modelingai/ml governancedod secret clearancemontgomery alamerican operations corporationoperational analytics
- Work arrangement
- Weekend coverage required
Benefits & perks
- Medical, dental and vision plan, 401(k), basic and voluntary life insurance, AD&D, paid vacation, sick leave and public holidays, and short- and long-term disability.
Why this role
Requires an active DoD Secret clearance and 5+ years of AI/ML or data analytics experience; AI/ML and cloud AI certifications are preferred.
About the employer
American Operations Corporation is hiring for this role. Industry: Engineering Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Engineering Services
- Occupation code
- 15-2051.00
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Listing ID: e0ef327a-38df-4f12-92ce-7fa149c9d4c3