TS/SCI AI/ML Engineer – Lead Prototyping & DL

CACI International Inc

King of Prussia (PA)

On-site

USD 82,000 - 172,000

Full time

5 days ago
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Job summary

CACI International Inc is seeking a Senior AI/ML Engineer to tackle challenging AI/ML problems across multiple disciplines including object detection, NLP, time series, and reinforcement learning. You will prototype and develop algorithms within a small interdisciplinary team and contribute to scalable production pipelines on AWS.

The role requires a strong background in Python, PyTorch, and DL architectures, plus experience with data types like images, text, and graphs.

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 such as PyTorch, OpenCV, NumPy, Polars.
  • Experience with supervised and unsupervised learning and deep learning architectures.
  • Experience contributing on a team using version control (Git, GitLab, Bitbucket).
  • Willingness to obtain and maintain an Active TS/SCI clearance.

Responsibilities

  • Implement ML 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.

Skills

Python
PyTorch
Deep learning
NLP
Git

Education

B.S. in ML, CS, math or related field
MS or PhD in relevant field (desired)

Tools

Git
GitLab
Bitbucket
Docker
Kubernetes
AWS
LangChain
HuggingFace

Job description

CACI International Inc is seeking a Senior AI/ML Engineer to tackle challenging AI/ML problems across multiple disciplines including object detection, NLP, time series, and reinforcement learning. You will prototype and develop algorithms within a small interdisciplinary team and contribute to scalable production pipelines on AWS.

The role requires a strong background in Python, PyTorch, and DL architectures, plus experience with data types like images, text, and graphs.

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