Senior AI/ML Engineer: Innovate Across Vision & NLP

Talentify; King of Prussia (PA); On-site; USD 82,000 - 172,000; Full time

Job summary

CACI is seeking a Senior AI/ML Engineer to prototype and develop advanced AI/ML algorithms across multiple disciplines, from object detection to NLP and time-series analysis. You will work within a small, interdisciplinary team to push research into production.

The role emphasizes collaboration, documentation, and hands-on development in Python and leading ML frameworks, with opportunities to mentor colleagues and contribute to cutting-edge projects at scale.

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

ML libraries

Data analysis

Supervised learning

Unsupervised learning

Deep learning architectures

Version control

TS/SCI clearance

Education

B.S. in machine learning or related

Tools

PyTorch

Lightning

OpenCV

NumPy

Polars

Job description

CACI is seeking a Senior AI/ML Engineer to prototype and develop advanced AI/ML algorithms across multiple disciplines, from object detection to NLP and time-series analysis. You will work within a small, interdisciplinary team to push research into production.

The role emphasizes collaboration, documentation, and hands-on development in Python and leading ML frameworks, with opportunities to mentor colleagues and contribute to cutting-edge projects at scale.