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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** CareerCircle - **Location:** Huntsville, AL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Artificial Neural Networks, Microsoft Azure, Cyber Security, Databases, Intelligence Analysis, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Language Modeling, Tensorflow, Salesforce.Com, Software Engineering, Management of Software Versions, Reinforcement Learning, Pytorch, Multi-Agent Systems, Prompt Engineering, Deep Learning, Generative AI, SC Clearance, Containerization, Information Technology, HuggingFace, Machine Learning Operations, Virtual Agents - **Published:** September 28, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/al/huntsville/148e7265-410c-4304-ab14-fb3e31640102 ## About the Role Scalability Supply Chain Data Science Communication Dynamic Pricing Machine Learning Resource Allocation Feasibility Studies Predictive Analytics Architectural Design Reinforcement Learning Artificial Intelligence Artificial Neural Networks Ethical Standards And Conduct, * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance * Bachelor's Degree * FIVE (5) or more years of experience in AI/ML What Would Be Nice To Have: * Experience with DoD * Experience with supply chain and logistics ## Description The AI/ML Engineer - Supply Chain & Logistics will support a Department of Defense client. The responsibilities include: * Design and implement advanced machine learning models for logistics optimization, predictive analytics, and anomaly detection. * Apply techniques such as reinforcement learning, neural networks, and metaheuristics to solve complex supply chain and inventory challenges. * Develop real-time decision systems for dynamic pricing, resource allocation, and predictive maintenance. * Lead architecture design for scalable, secure, and maintainable AI systems. * Mentor engineering teams and enforce best practices in ML development and secure software engineering. * Align technical roadmaps with defense AI strategies and mission-critical requirements. * Explore and implement emerging AI/ML technologies to address logistics challenges in contested and uncertain environments. * Conduct feasibility studies and contribute to innovation initiatives, academic collaborations, and technology evaluations., MLflow Sensors Tooling Equities Operations Leadership Governance Innovation TensorFlow Agentic AI Market Data Red Teaming Data Science Data Analysis Survivability Cyber Security Microsoft Azure Language Models Agentic Systems Vector Database Computer Science Machine Learning Containerization Threat Detection Secret Clearance Prompt Engineering Workflow Management Amazon Web Services Software Versioning Multi-Agent Systems Software Engineering Lifecycle Management Performance Analysis Technical Leadership Intelligence Analysis Artificial Intelligence Large Language Modeling Hugging Face Transformers Verbal Communication Skills Machine Learning Frameworks Fine-tuning (Deep Learning) Python (Programming Language) Microsoft Certified Professional Generative Artificial Intelligence PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Transformer (Machine Learning Model) Application Programming Interface (API) +0 Google IT Automation with Python Salesforce Developer AI/ML Engineer Guidehouse Huntsville, AL*On-Site Loans Innovation Scalability Supply Chain Data Science Communication Dynamic Pricing Machine Learning Resource Allocation Feasibility Studies Predictive Analytics Architectural Design Reinforcement Learning Artificial Intelligence Artificial Neural Networks Ethical Standards And Conduct +0 ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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