Senior AI/ML Engineer: Research Prototyping & Deployment

CACI International Inc; Aurora (CO); On-site; USD 82,000 - 172,000; Full time

Job summary

CACI International Inc. is seeking a Senior AI/ML Engineer to prototype and develop advanced algorithms across AI disciplines. You will work in a small interdisciplinary team on object detection, NLP, time series, and RL problems.

The role emphasizes training and deployment pipelines, including AWS services, and collaboration with researchers to review cutting-edge publications. A strong background in Python and ML libraries is required.

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, 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)
• Ability to obtain/maintain a TS/SCI U.S. Government Security Clearance

Responsibilities

• 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

Skills

Python

PyTorch

OpenCV

NumPy

Deep learning

Supervised learning

Unsupervised learning

Version control

AWS

Linux

TensorFlow

transformers

Education

B.S. in machine learning, computer science, mathematics, or related field

MS or PhD in relevant technical field

Tools

Git

GitLab/Bitbucket

Docker

Kubernetes

CUDA

LangChain

HuggingFace

Job description

CACI International Inc. is seeking a Senior AI/ML Engineer to prototype and develop advanced algorithms across AI disciplines. You will work in a small interdisciplinary team on object detection, NLP, time series, and RL problems.

The role emphasizes training and deployment pipelines, including AWS services, and collaboration with researchers to review cutting-edge publications. A strong background in Python and ML libraries is required.