> Markdown version of [/jobs/ext/472988-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/472988-machine-learning-engineer). 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). --- # Machine Learning Engineer - **Company:** CACI International Inc. - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Salary:** $113,200.0 - $237,800.0 - **Contract:** Permanent contract - **Skills:** Training Data, Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Code Review, Computer Programming, Databases, Continuous Integration, Data Structures, Software Debugging, Software Design Patterns, DevOps, Programming Tools, Information Technology Operations, Python (Programming Language), Machine Learning, NoSQL, Object-Oriented Software Development, Open Source Technology, Ansible, Tensorflow, SAP (Applications), Software Engineering, SQL Databases, Tableau (Software), Google Cloud, Cloud Platform System, Large Language Models, Git, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Rancher, Machine Learning Operations, Virtual Agents, Restful APIs, Splunk, Docker, Servicenow, Microservices - **Published:** June 5, 2026 - **Apply:** https://dejobs.org/x/x/8403DD4222C74B3C9ECD01219B1D4E10/job/ ## About the Role Required: * Active TS/SCI clearance with Poly * Bachelor's degree in computer science, Software Engineering, Data Science, or related technical field with 5 years of professional experience in software development or machine learning engineering * Strong proficiency in Python programming with solid understanding of object-oriented programming (OOP) concepts, design patterns, data structures, and algorithms * Experience with development tools and practices including Git version control, Docker containerization, and database management (SQL and/or NoSQL) * Knowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (LangChain, LangGraph), * Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems * Strong problem-solving abilities, attention to detail, excellent communication skills, and eagerness to learn in a collaborative team environment Desired: * Master's degree in computer science or related field * Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps practices for ML model deployment and monitoring * Experience with container orchestration and DevOps including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible * Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk * Contributions to open-source ML projects and familiarity with Agile development methodologies ## Description CACI is seeking a Software Developer with AI experience to join our dynamic team. This role will focus on developing and implementing AI solutions to enhance our enterprise-level IT operations. The Developer will work closely with cross-functional teams to design, develop, and deploy AI-driven applications that improve efficiency, automate processes, and provide valuable insights., Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks * Implement and optimize algorithms for large language model (LLM) integration and deployment * Build RESTful APIs and microservices to serve ML models in production environments * Write clean, maintainable, and well-documented code following object-oriented programming principles * Collaborate with cross-functional teams to understand requirements and translate them into technical solutions * Work with databases (SQL,NoSQL and Vector) to manage training data, model artifacts, and application state * Containerize ML applications using Docker for consistent deployment across environments * Utilize Git for version control and participate in code reviews to maintain code quality * Conduct testing and debugging of ML applications to ensure reliability and accuracy * Support the deployment and monitoring of AI/ML models in cloud environments * Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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 – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)