> Markdown version of [/jobs/ext/3079442-ai-ml-engineer-data-scientist](https://www.wearedevelopers.com/jobs/ext/3079442-ai-ml-engineer-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer/Data Scientist - **Company:** American Operations Corporation - **Location:** Montgomery, AL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Cloud Computing, Python (Programming Language), Machine Learning, Data Analytics, Devsecops - **Published:** September 25, 2026 - **Apply:** https://www.juju.com/job/16_5d2a08d73 ## About the Role Must possess DoD Secret Clearance. Technical Skills · Python · Machine learning · NLP · Data analytics · Predictive modeling · AI/ML governance Certifications Preferred: · AI/ML certifications · Cloud AI certifications Experience · 5+ years AI/ML or data analytics experience. · Experience supporting enterprise operational analytics preferred. ## Description Supports AI/ML-enabled analytics, predictive maintenance analysis, anomaly detection, operational trend analysis, and data-driven modernization initiatives across the BMx FoS. This role evaluates and develops AI/ML use cases aligned to Government priorities while ensuring all AI/ML activities remain operationally safe, technically supportable, and compliant with Government governance requirements. The AI/ML Engineer/Data Scientist works closely with Product Owners, Functional SMEs, Help Desk personnel, System Architects, DevSecOps personnel, and operational stakeholders to analyze Help Desk trends, defect patterns, maintenance workflows, operational reporting anomalies, and modernization candidates. This role may support predictive analytics, automated test generation, operational dashboard enhancement, workload forecasting, and maintenance trend analysis. Within BMx, AI/ML activities are governed carefully to ensure operational mission support, cybersecurity controls, and Government data rights requirements remain protected throughout AI/ML experimentation and implementation. ## Related Videos - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [AI in Africa: How can we bounce back?](https://www.wearedevelopers.com/videos/1251-ai-in-africa-how-can-we-bounce-back) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) - [Navigating the AI Wave in DevOps](https://www.wearedevelopers.com/videos/853-navigating-the-ai-wave-in-devops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)