Senior AI/ML Engineer — Drive LLMs & Vision in Aurora

CACI International Inc

Aurora (CO)

Hybrid

USD 82,000 - 172,000

Full time

10 days ago

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Job summary

CACI International Inc. in Aurora, CO is seeking a Senior AI/ML Engineer to prototype and deploy AI/ML models across domains including NLP, vision, and time-series. You will collaborate in a small interdisciplinary team, analyze diverse data, and translate research into production-ready solutions.

The role requires strong Python, PyTorch, and deep learning skills with VCS collaboration. Preference for MS/PhD and experience with LLMs, Transformers, and AWS deployment.

Qualifications

  • B.S. in machine learning, computer science, mathematics, or related field.
  • 5+ years of AI/ML development experience.
  • Proficiency with Python and ML libraries (PyTorch, OpenCV, NumPy).
  • Experience with supervised and unsupervised learning and deep learning.
  • Experience contributing on a team using git or similar VCS.

Responsibilities

  • Implement ML algorithms as part of a small interdisciplinary team.
  • Analyze large multi-domain datasets (images, text, time series, graphs).
  • Review cutting-edge research publications and apply findings.
  • Create technical docs and user guides for models.
  • Understand training and deployment pipelines including AWS services; mentor teammates.

Skills

Python
PyTorch
Lightning
OpenCV
NumPy
Polars
Supervised learning
Unsupervised learning
Deep learning
Git

Education

Bachelor's degree
MS or PhD (desired)

Tools

AWS
Docker
Kubernetes
CUDA
CuPy
LangChain
HuggingFace
OpenCV

Job description

CACI International Inc. in Aurora, CO is seeking a Senior AI/ML Engineer to prototype and deploy AI/ML models across domains including NLP, vision, and time-series. You will collaborate in a small interdisciplinary team, analyze diverse data, and translate research into production-ready solutions.

The role requires strong Python, PyTorch, and deep learning skills with VCS collaboration. Preference for MS/PhD and experience with LLMs, Transformers, and AWS deployment.

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