Artificial Intelligence/Machine Learning Engineer (Telework eligible)

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.

Responsibilities

Designing, creating, testing, and productizing AI/ML algorithms to solve business challenges; Selecting appropriate data sets; Performing statistical analysis; Running machine learning algorithms; Using results to improve models; Training and retraining systems when needed; Running standard test and evaluation protocols; Providing system integration oversight; Overseeing test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements; Researching and implementing a broad range of AI and ML algorithms and tools; Designing or selecting appropriate data and knowledge representation methods; Recognizing software architecture, data modelling, and data structures; Transforming and converting data science prototypes into scalable solutions; Verifying data and model output quality; Identifying differences in data distribution that affect model performance; Leading geographically diverse teams and serving as primary POC for AI-related matters

Requirements

United States Citizenship and position appropriate security clearance required (due to federal contract requirements); 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

Nice to have

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus

Benefits

20% automatic SEP IRA contribution with full vesting from day one; Generous PTO plan of up to 200 hours annually; Choice of medical plan options, some with 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; Employee referral bonus eligibility up to $10,000; Mobility among Wyetech-supported contracts; Various contract and work locations; Team-building events throughout the year; Two complementary branded clothing orders annually