AI/ML Engineer — TS/SCI Data Pipelines & LLMs

CACI International Inc; King of Prussia (PA); On-site; USD 69,000 - 142,000; Full time

Job summary

CACI International Inc is seeking an AI/ML Engineer to join a multidisciplinary team building AI/ML and LLM solutions. You will assemble data, build ETL pipelines, and implement algorithms to support analytics across disciplines.

The role emphasizes scalable data delivery, modeling, and rapid deployment in a collaborative environment. The position requires TS/SCI clearance, 3+ years of relevant experience, and hands-on Python data tooling in a Linux/AWS setting.

Qualifications

• B.S. in Data Science, AI/ML, Computer Science, or related field.
• 3+ years of experience in Data Engineering/Scientist, ML Engineer, or Software Development.
• Experience developing data pipelines and normalizing data with canonical Python packages (NumPy, Pandas, Polars).
• Experience contributing within a team using version control (git, GitLab, Bitbucket).
• Active TS/SCI U.S. Government Security Clearance.

Responsibilities

• Assemble large, complex datasets to support AI/ML algorithm implementation.
• Build infrastructure for ETL data extraction, transformation, and loading from diverse sources.
• Curate and maintain data supporting metrics and evaluation.
• Implement AI/ML algorithms.
• Identify and implement internal process improvements for scalability and automation.
• Use Agile methodologies to develop software.

Skills

Data Science

AI/ML

Python

Git

Linux

Agile

LLMs

Transformer architectures

NLP

CUDA

Education

B.S. in Data Science, AI/ML, Computer Science, or related field

Tools

NumPy

Pandas

Polars

GitLab

Bitbucket

Docker

Kubernetes

AWS

Job description

CACI International Inc is seeking an AI/ML Engineer to join a multidisciplinary team building AI/ML and LLM solutions. You will assemble data, build ETL pipelines, and implement algorithms to support analytics across disciplines.

The role emphasizes scalable data delivery, modeling, and rapid deployment in a collaborative environment. The position requires TS/SCI clearance, 3+ years of relevant experience, and hands-on Python data tooling in a Linux/AWS setting.