AI and ML Engineer
Booz Allen Hamilton2 days ago
Lorton, VA, USAMid Level
H1B sponsor
Base Salary
$78k - $176k/yr
Responsibilities
- Train, test, deploy, maintain, and monitor machine learning models for warfighter performance applications.
- Develop computer vision solutions for defect and anomaly detection using image processing, numerical computing, and machine learning techniques.
- Build reproducible model training and evaluation workflows and integrate model inference into analytical or software systems.
- Translate operational needs into computer vision solutions and select modeling approaches based on available data and constraints.
- Design validation strategies, establish operating thresholds, and assess missed-defect versus false-alarm tradeoffs.
- Deliver maintainable and tested code, investigate technical issues, and communicate findings and recommendations to technical and non-technical stakeholders.
- Collaborate with data engineers, data scientists, solutions architects, mission SMEs, and product owners.
Requirements
- Experience with Python, SQL, Git, and machine learning frameworks such as PyTorch or TensorFlow.
- Experience developing computer vision solutions and applying image preprocessing, feature extraction, transfer learning, classification, object detection, segmentation, and visual anomaly detection.
- Knowledge of neural network architectures and supervised, unsupervised, and self-supervised learning approaches.
- Knowledge of representative dataset design, data leakage, class imbalance, overfitting, and model generalization.
- Ability to obtain a Secret clearance.
- Bachelor’s degree in computer science, data science, engineering, mathematics, statistics, AI, or computer vision.
- Preferred experience with computer vision for industrial inspection, manufacturing, materials, textiles, or quality control.
- Preferred experience with limited defect samples, limited labeled data, or normal-only training datasets.
- Preferred experience deploying and monitoring ML models with AWS, Docker, GPU infrastructure, or model-serving platforms.
- Preferred knowledge of visual anomaly detection methods such as pre-trained feature-based methods, autoencoders, PatchCore, or PaDiM.
- Preferred ability to design end-to-end visual inspection systems and address throughput, latency, reliability, and ongoing performance monitoring.
- Master’s degree, doctorate, or AI, ML, computer vision, data science, cloud, DevOps, or security certification is preferred or a plus.
Benefits
- Health, life, disability, financial, and retirement benefits are offered.
- Paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards are offered.
- Regular full-time and part-time employees working at least 20 hours per week are eligible for the company’s benefit programs, with select offerings for others.
- Work may be remote, hybrid, or onsite depending on the position; remote roles may require occasional in-person work, and hybrid roles require frequent facility work or customer visits.
- Employees working virtually are generally expected to keep cameras on during meetings.
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).