> Markdown version of [/jobs/ext/272353-ai-ml-engineer-level-2](https://www.wearedevelopers.com/jobs/ext/272353-ai-ml-engineer-level-2). 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 Level 2

- **Company:** CACI International Inc.
- **Location:** Suitland-Silver Hill, MD, United States
- **Experience:** Experienced
- **Salary:** $94,400.0 - $198,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Data Cleansing, Distributed Computing Environment, Python (Programming Language), Machine Learning, Azure Machine Learning, Google Cloud, Enterprise Software Applications, Cloud Platform System, Apache Spark, Deep Learning, Git, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Docker, Programming Languages
- **Published:** May 14, 2026
- **Apply:** https://dejobs.org/x/x/3D3427A84F0E4927BA27B4C3B51B0BB3/job/

## About the Role

CACI is seeking a skilled and experienced mid-level AI/ML Engineer to join our dynamic team to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in machine learning, deep learning, and AI system development, with a proven track record of designing, developing, and deploying machine learning models. This role requires a deep understanding of MLOps, containerization, and CI/CD pipelines, as well as advanced knowledge in data preprocessing and cloud environments., * TS/SCI Clearance

 * Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.

 * 3-5 years of experience in machine learning, deep learning, or AI system development.

 * Experience in MLOps, containerization (e.g., Docker, Kubernetes), and CI/CD pipelines.

 * Proficiency in designing, developing, and deploying machine learning models.

 * Advanced knowledge in data preprocessing, including handling large datasets in cloud environments.

 * Experience in developing custom AI APIs and integrating them into enterprise applications.

 * Strong knowledge of programming languages for Machine Learning (Python, R, or similar).

 * Good understanding of AI cloud tools and capabilities.

 * Familiarity with Responsible AI (RAI) policies and development of metrics, measurements, and evaluation methods for AI.

Certifications:

 * AI Engineer Associate (AI-102)

 * Microsoft Certified: Data Scientist Associate

 * Or similar relevant certifications

Preferred Skills:

 * Experience with cloud platforms (Azure, AWS, GCP)

 * Knowledge of distributed computing frameworks (e.g., Apache Spark)

 * Familiarity with version control systems (e.g., Git)

## Description

* Design, develop, and deploy machine learning models and manage pipelines using tools such as Azure ML, Kubeflow, or MLflow.

 * Implement and manage MLOps practices, including containerization (e.g., Docker, Kubernetes) and CI/CD pipelines.

 * Handle large datasets in cloud environments, performing advanced data preprocessing.

 * Develop custom AI APIs and integrate them into enterprise applications.

 * Ensure adherence to Responsible AI (RAI) policies and develop metrics, measurements, and evaluation methods for emerging and existing AI areas.

 * Collaborate with cross-functional teams to identify opportunities for AI/ML integration and improvement.


## 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)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Navigating the AI Wave in DevOps](https://www.wearedevelopers.com/videos/853-navigating-the-ai-wave-in-devops)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)
- [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [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)
- [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)
- [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems)
- [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)