Senior Machine Learning Engineer

@ SAIC

Senior Machine Learning Engineer

SAIC is seeking a Machine Learning Engineer to join our team at Fort Belvoir, Virginia. In this role, you will integrate, scale, and deploy machine learning models and systems to support the Army Intelligence & Security Enterprise (AISE).

Job Duties

• Design, develop, and deploy machine learning models for mission-critical challenges.
• Optimize model performance using hyperparameter tuning, feature engineering, and algorithm selection.
• Collaborate with data engineers to optimize data pipelines for ML workloads.
• Implement MLOps practices to automate deployment, monitoring, and maintenance.
• Ensure scalability, security, and reliability of ML systems in operations.
• Stay updated on advancements in ML frameworks, tools, and methodologies.
• Support operational integration of AI/ML solutions for enhanced intelligence.

Required Education and Qualifications

Bachelor's with 5+ years experience; Master's with 3+ years; PhD/JD with no years required; or 4 years experience in lieu of degree. Five or more years in ML engineering, systems engineering or related roles. Proficiency in Python and R, strong understanding of ML frameworks (e.g., TensorFlow, PyTorch) and experience with cloud-based AI/ML platforms.

Desired Qualifications and Clearance

Advanced degree preferred. Experience with NLP, computer vision, or reinforcement learning is a plus. Familiarity with containerization tools (Docker, Kubernetes) and Army Intelligence Enterprise data requirements. Candidates must have active TS/SCI clearance or ability to obtain one.

Key skills/competency

• Machine Learning
• Python
• R
• MLOps
• TensorFlow
• PyTorch
• Cloud Platforms
• NLP
• Data Engineering
• Clearance