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CACI International Inc

Senior AI/ML Engineer

CACI International Inc

Senior 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 & technologies
AWSCloudDockerEC2KubernetesLinuxNumpyPythonPyTorchTypeScript

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