The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Capabilities • Select appropriate data sets • Perform statistical analysis • Run machine learning algorithms • Use results to improve models • Train and retrain systems when needed • Experience in working with various ML libraries and packages • Run standard test and evaluation protocols • Provide system integration oversight • Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements • Research and implement a broad range of AI and ML algorithms and tools • Design or Select appropriate data and knowledge representation methods • Recognize software architecture, data modelling, and data structures • Transform and convert data science prototypes into scalable solutions • Verify data and model output quality • Identify differences in data distribution that affect model performance Required Qualifications • TS/SCI with agency appropriate poly • Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. • 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow. The Benefits Package • Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: • Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: • A Choice of Medical Plan Options, some with Health Savings Account (HSA) • Vision and Dental • Life and AD&D Benefits • Short and Long-Term Disability • Hospital Indemnity, Accident, and Critical Illness Insurances • Optional Identity Theft and Legal Protection Services Company Environment & Perks • Employee Referral Bonus Eligibility up to $10,000 • Mobility Among Wyetech-supported Contracts • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. • Employees receive two complementary branded clothing orders annually. $0 - $0 an hour Pay Range: $ - $ per hour* Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.