AI/ML Engineer — TS/SCI Clearance | Data Pipelines

Aimlroles; King of Prussia (PA); Vor Ort; USD 69.000 - 142.000; Vollzeit

Zusammenfassung

CACI is seeking an AI/ML Engineer in King of Prussia, PA, to develop and support AI/ML algorithms across NLP, time-series analytics, and LLM-related tasks. You will work in a multidisciplinary team implementing ETL pipelines to enable AI/ML solutions for customer challenges.

The role requires a TS/SCI clearance and experience with data pipelines, Python data packages, and version control. The team focuses on scalable infrastructure and agile software development to advance national missions.

Qualifikationen

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

Aufgaben

• Assemble large, complex sets of data to support AI/ML algorithm implementation.
• Build infrastructure for ETL data loading from various sources.
• Curate and maintain data for metrics and evaluation.
• Implement AI/ML algorithms.
• Identify and implement internal process improvements for scalability and data delivery.
• Use Agile methodologies to develop software.

Kenntnisse

Python (NumPy, Pandas, Polars)

Data pipelines

Version control (GitLab, Git)

AI/ML algorithms

Team collaboration

Ausbildung

BS in Data Science / AI/ML / CS

Tools

Docker

Docker Compose

AWS

Kubernetes

Spark / PySpark

Jobbeschreibung

CACI is seeking an AI/ML Engineer in King of Prussia, PA, to develop and support AI/ML algorithms across NLP, time-series analytics, and LLM-related tasks. You will work in a multidisciplinary team implementing ETL pipelines to enable AI/ML solutions for customer challenges.

The role requires a TS/SCI clearance and experience with data pipelines, Python data packages, and version control. The team focuses on scalable infrastructure and agile software development to advance national missions.