AI and ML Engineer

AI and ML Engineer The Opportunity: - As a programmer, you know that machine learning (ML) is critical to understanding and processing massive datasets. - Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. - We need your technical knowledge and desire to problem-solve to support warfighter performance. - As an ML engineer on our warfighter technology team, you’ll train, test, deploy, and maintain models that learn from data. - In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. - You’ll grow within a talented team of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, Mission SMEs, and product owners to deliver world-class solutions to optimize and predict performance. - Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. - Work with us to solve real-world challenges and define ML strategy for warfighter performance. - Join us. The world can’t wait. You Have: - Experience with Python, SQL, Git, and ML frameworks such as PyTorch or TensorFlow - Experience developing computer vision solutions using image processing and numerical computing libraries, building reproducible model training and evaluation workflows, and integrating model inference into analytical or software systems - Knowledge of computer vision and ML methods, including 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 evaluation practices that address representative dataset design, data leakage, class imbalance, overfitting, and model generalization - Ability to independently translate operational needs into computer vision solutions for defect and anomaly detection, and select modeling approaches appropriate to the available data and constraints - Ability to design validation strategies, establish operating thresholds, and assess performance against acceptance criteria, including tradeoffs between missed defects and false alarms - Ability to deliver maintainable and tested code, investigate technical issues, and clearly communicate findings, limitations, and recommendations to technical and non-technical stakeholders - Ability to obtain a Secret clearance - Bachelor’s degree in CS, Data Science, Engineering, Mathematics, Statistics, AI, or Computer Vision Nice If You Have: - Experience applying computer vision to industrial inspection, manufacturing, materials, textiles, or related quality control applications - Experience working with limited defect samples, limited labeled data, or normal-only training datasets - Experience deploying and monitoring ML models using technologies such as AWS, Docker, CI / CD pipelines, GPU infrastructure, or model-serving platforms - Experience with image-level, pixel-level, and region-level evaluation and the effects of lighting, camera position, scale, orientation, texture, and material variation on inspection performance - Knowledge of specialized visual anomaly detection approaches such as pre-trained feature-based methods, autoencoders, PatchCore, PaDiM, or similar techniques - Ability to design end-to-end visual inspection systems that connect image acquisition, preprocessing, model inference, and downstream applications - Ability to address operational requirements such as throughput, latency, reliability, and ongoing performance monitoring, and adapt solutions to new materials, defect types, or imaging conditions - Secret clearance - Master’s degree in AI, ML, Computer Vision, Data Science, Electrical Engineering, Computer Engineering, Materials Science, Manufacturing, Applied Analytics, or a related field preferred; Doctorate degree in AI, ML, Computer Vision, Data Science, Electrical Engineering, Computer Engineering, Materials Science, Manufacturing, Applied Analytics, or a related field a plus - AI, ML, Computer Vision, Data Science, Cloud, DevOps, or Security Certification Clearance: - Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation - At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. - Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. - Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. - Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. - Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. - We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. - Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. - The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). - The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. - This posting will close within 90 days from the Posting Date. Identity Statement - As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. - You are expected to be on camera during interviews and assessments. - We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy - AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. - However, we want to ensure a fair candidate process based on your own skills and knowledge. - As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model - Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. - To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination - All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.