Mid-Level AI/ML Engineer [$274k/yr+] TS/SCI-FS Poly with Security Clearance

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Design, create, test, and productize AI/ML algorithms and models. • Manage model architecture, data pipelines, and metrics. • Apply data engineering, data governance, and software development principles. • Train, deploy, and monitor models. • Develop scalable solutions using Python, Java, C, R, PyTorch, and TensorFlow. • Perform statistical analysis, implement machine learning algorithms, and ensure data and model quality. • Oversee system integration and algorithm testing. • Research and implement AI/ML tools and data representation methods. Qualifications && Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 7+ years • Total Compensation: $274k+ yearly Job Description: • Design, create, test, and productize AI/ML algorithms to solve business challenges. • Develop AI/ML models capable of learning and making predictions as defined by business logic. • Proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. • Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. • Design and create scalable solutions for optimal performance through understanding training, retraining, deploying, scheduling, monitoring, and improving models. • Lead geographically diverse teams and serve as a primary point of contact for AI-related matters, demonstrating exceptional analytical, problem-solving, and communication skills. • Apply expert knowledge of multiple programming languages, including Python, Java, C, and R. • Utilize standard machine learning frameworks such as PyTorch and TensorFlow. • Select appropriate data sets and perform statistical analysis. • Run machine learning algorithms and use results to improve models. • Train and retrain systems when needed. • Work with various ML li braries and packages. • 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 modeling, 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. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency