> Markdown version of [/jobs/ext/4608088-ai-ml-data-engineer-ii](https://www.wearedevelopers.com/jobs/ext/4608088-ai-ml-data-engineer-ii). 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 Data Engineer II - **Company:** ECS Limited - **Location:** Montgomery, AL, United States - **Experience:** Experienced - **Salary:** $108,000 - $120,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing Security, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, Feature Engineering, Model Validation, SC Clearance, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** November 6, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9294944/aiml-data-engineer-ii ## About the Role * BS Degree in Computer Science * Active Secret Clearance * Minimum of 4 years of relevant experience * DoD 8140 Code 623 Intermediate Qualifications Desired Skills * 5+ Years' experience working on DoD programs is highly desired * Interest in new technologies and the ability to adopt to those new technologies ## Description Everforth ECS is seeking an AI/ML Engineer II to work in our Maxwell-Gunter Annex, Alabama office. Salary - $108,000 - $120,000 Everforth ECS is seeking a highly qualified AI/ML Engineer II with an active Secret Clearance to work on our project at Maxwell-Gunter Annex in Alabama. The selected candidate will be able to communicate effectively (written/verbal), possess strong interpersonal skills, be self-motivated, and be innovative in a fast-paced environment. Must hold and maintain a valid Secret Clearance. Builds scalable data pipelines and AL/ML infrastructure, prepares high-quality datasets, and supports model training and development to deliver reliable, production ready solutions. The position is part of the Program Support Team and possesses essential skills including: * Python-based ML development * Data preparation, feature engineering * Predictive maintenance, NLP, anomaly detection, and test-generation use cases * Model validation * MLOps * Secure cloud deployment * Data provenance, explainability, model documentation, and monitoring.