Senior AI/ML Engineer: Prototyping & Deploying ML Models

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

Job summary

CACI International Inc in Fairbanks, Alaska, is seeking a Senior AI/ML Engineer to prototype and develop advanced AI/ML algorithms within a collaborative research environment. You will contribute to object detection, NLP, time series, and large language models, translating research into deployable solutions.

You’ll work in a small interdisciplinary team, analyze diverse datasets, review cutting-edge publications, and help design training and deployment pipelines including AWS services, while

Qualifications

• B.S. in machine learning, CS, 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

Model training

Education

B.S. in machine learning, CS, mathematics, or related field

MS/PhD preferred

Tools

Git/GitLab/Bitbucket

AWS

Docker/Kubernetes

CUDA

HuggingFace

Job description

CACI International Inc in Fairbanks, Alaska, is seeking a Senior AI/ML Engineer to prototype and develop advanced AI/ML algorithms within a collaborative research environment. You will contribute to object detection, NLP, time series, and large language models, translating research into deployable solutions.

You’ll work in a small interdisciplinary team, analyze diverse datasets, review cutting-edge publications, and help design training and deployment pipelines including AWS services, while