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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning (ML) Engineer - **Company:** WWC Global - **Location:** Tampa, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Cloud Computing, Computer Terminals, Data Governance, Desktop Computing, Github, Machine Learning, Microsoft Office, Natural Language Processing, Tensorflow, Azure Machine Learning, Enterprise Data Management, Feature Engineering, Data Ingestion, Delivery Pipeline, Large Language Models, Generative AI, Information Technology, Machine Learning Operations, Databricks - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=48a1cf6f24d5911c ## About the Role * Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related technical field. * Minimum of five (5) years of experience in machine learning engineering, data science, or a related technical discipline, including hands-on experience designing, training, deploying, and monitoring ML models in cloud or hybrid production environments. * Current, active TS/SCI security clearance. * Outstanding communication skills, influencing abilities, and client focus. * Professional proficiency in English is required. * Demonstrated proficiency in using all Microsoft Office applications. * Ability to access federal facilities in compliance with Real ID. More information about Real ID can be found here: https://www.dhs.gov/real-id/about-real-id (https://www.dhs.gov/real-id/about-real-id) and at https://www.tsa.gov/travel/security-screening/identification (https://www.tsa.gov/travel/security-screening/identification). * Applicants must be currently authorized to work in the United States on a full-time basis. WWC Global will not sponsor applicants for work visas for this position. Preferred Requirements * Master's degree or PhD in Machine Learning, Computer Science, Artificial Intelligence, Applied Mathematics, or a related field. * Experience working in DoD or Intelligence Community environments. * Experience developing and deploying AI/ML capabilities in support of SOF or other warfighting organizations. * Experience with LLM/RAG development and GenAI operationalization in classified or restricted environments. * Experience conducting AI/ML experimentation and multi-lateral exercises to validate model performance against high-impact use cases. * Experience with low-bandwidth and Disconnected, Intermittent, and Limited (DIL) environment constraints. * One or more of the following: Databricks Certified Machine Learning Professional, AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, or equivalent AI/ML platform certification. ## Description * Designing, developing, deploying, and maintaining machine learning models and AI-enabled systems that support SOF Enterprise data analysis, operational planning, and decision advantage. * Developing AI/ML algorithms and models including those designed for Natural Language Processing (NLP), computer vision, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and decision-making that learn from data to identify patterns and improve performance over time. * Building and managing end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring. * Conducting AI/ML modeling and simulation efforts to create models that analyze data, recognize patterns, and make predictions, and using those models to simulate real-world scenarios to test various outcomes without real-world risk. * Implementing MLOps practices to ensure scalable, repeatable, and auditable model development and deployment workflows. * Conducting suitability and feasibility assessments to confirm AI/ML is the appropriate tool for a given task and establishing clear requirements and fully specified tasks prior to development. * Ensuring all LLM/RAG experimentation and model development adheres to mandatory security and data governance requirements defined by Federal, DoW, and SOCOM policies. * Designing and testing analytics and AI-enabled solutions side-by-side with SOF stakeholders and demonstrating capabilities via robust campaigns of learning. * Identifying and mitigating operational environment constraints, such as limited bandwidth at the tactical edge and contested environments early in the development process. * Supporting the establishment of clear pathways to adopt capabilities deemed successful after rigorous testing to ensure sustainment and wide-scale adoption. * Utilizing appropriate code share repositories (e.g., GitHub) for all development activities. This position is contingent on contract award. Work Environment: * Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment). * Ability to sit at a computer terminal for an extended period of time. Physical Demands: * While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear. * Employee is often required to sit and use their hands and fingers to operate a computer. * Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Prompt Injection, Poisoning & More: The Dark Side of LLMs](https://www.wearedevelopers.com/videos/1563-prompt-injection-poisoning-more-the-dark-side-of-llms) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [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)