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Senior AI/ML Engineer
CACI International IncSenior AI/ML Engineer developing algorithms in AI/ML within a multidisciplinary team. Collaborate on object detection/classification, NLP, and time series data.
Posted 6/14/2026full-timeColorado, Pennsylvania • 🇺🇸 United StatesSenior💰 $82,100 - $172,400 per yearWebsite
Tech Stack
Tools & technologiesAWSCloudDockerEC2KubernetesLinuxNumpyPythonPyTorchTypeScript
About the role
Key responsibilities & impact- Work within a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers:
- Implement machine learning algorithms as part of a small interdisciplinary team
- Analyze large multi-domain datasets including images, text, time series, and graph data
- Review and apply cutting-edge research publications
- Create technical documentation and user guides
- Understand training and deployment pipelines including AWS services
- Provide training and mentoring to team members
Requirements
What you’ll need- 5+ years of AI/ML development experience
- Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
- Experience with supervised and unsupervised learning
- Experience with deep learning architectures
- Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
- Bachelor’s degree in Machine Learning, Computer Science, Mathematics, or related field
- Active U.S. TS/SCI Government Security Clearance
- Experience leading interdisciplinary teams (Desired)
- Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning (Desired)
- Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV (Desired)
- Linux and AWS experience (Desired)
- Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc. (Desired)
- Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher) (Desired)
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc. (Desired)
- MS or PhD in relevant technical field (Desired)
Benefits
Comp & perks- healthcare
- wellness
- financial
- retirement
- family support
- continuing education
- time off benefits
ATS Keywords
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Hard Skills & Tools
machine learningPythonPyTorchLightningOpenCVNumPyPolarssupervised learningunsupervised learningdeep learning
Soft Skills
team collaborationmentoringtraining
Certifications
U.S. TS/SCI Government Security ClearanceBachelor’s degree in Machine LearningBachelor’s degree in Computer ScienceBachelor’s degree in MathematicsMS in relevant technical fieldPhD in relevant technical field