AI Data Engineer

@ SAIC

AI Data Engineer Overview

SAIC is seeking an AI Data Engineer to join our team in Fort Belvoir, Virginia. In this role, you will design, develop, and maintain data pipelines and architectures to support AI and machine learning workloads within the Army Intelligence & Security Enterprise (AISE).

Responsibilities

• Design and implement scalable data pipelines for AI workloads.
• Develop and maintain data architectures ensuring quality and security.
• Collaborate with teams to address data requirements for AI applications.
• Optimize data workflows for real-time analytics and decision-making.
• Ensure compliance with data governance and security protocols.
• Stay updated on data engineering, AI, and machine learning advancements.
• Support operational integration of AI/ML solutions to enhance intelligence capabilities.

Required Education and Experience

Bachelor's with 5+ years experience, Master's with 3+ years, or PhD/JD with no minimum experience. Alternatively, 4 years of experience may be considered in lieu of degree.

Qualifications

• Strong understanding of data pipeline design, ETL, and database management.
• Proficiency in Python, SQL, and R.
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience with leveraging Large Language Models and NLP tasks.
• Knowledge of data governance, security, and compliance standards.
• Excellent problem-solving and collaboration skills.

Desired Qualifications

• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, AWS SageMaker).
• Experience with real-time data processing and analytics.
• Understanding of Army Intelligence Enterprise data workflows.
• Knowledge of MLOps practices and tools.

Security Clearance

Candidates must have an active TS/SCI clearance, with the ability to obtain TS/SCI with Polygraph.

Key skills/competency

• Data pipelines
• ETL
• Python
• SQL
• Cloud platforms
• LLM
• NLP
• Data governance
• Machine learning
• MLOps