TS/SCI AI MLOps Data Engineer - PYtorch, Python, Advanced math with Security Clearance - Associates Systems LLC : Job Details

This is an on-site project - Active DOD secret or higher is a must - All qualified candidates will be responded to in 24 hrs or less. Employment type: Full Time w-2 or C2C or 1099. Rate: open to Negotiation • Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields • Strong mathematical background (linear algebra, calculus, probability & statistics) • Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) • Experience crafting, conducting, analyzing, and interpreting experiments and investigations. • Experience with modern software development tools and practices (Git, pull requests) • Experience analyzing model performance with relevant metrics and optimizing. • Familiarity with AI agent frameworks • Ability to drive a project and work both independently and in a team • Smart, motivated, can do attitude, and seeks to make a difference • Excellent English communication and collaboration skills, particularly in multidisciplinary teams with data scientists, software engineers, product owners, & solution architects. • MLOps, Model Engineering, Training on time series data. • Develop candidate models that are promoted to active models when their performance meets threshold. • Train, validate and deploy machine learning pipelines • Test, troubleshoot, and enhance customer AI-based applications based on feedback. • Manage individual project deliverables • Identify application performance bottlenecks and implement optimizations • Write application specifications and documentation • Articulate methodologies, experiments, and findings clearly in actionable way. • Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study. No experience in lieu of. • 5+ years of Data Science development experience using Python • Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. • Strong proficiency in numpy & pandas. • Demonstrated skills with Jupyter Notebook or comparable environments • Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. • Candidates require a TS to start. TS/SCI with Polygraph preferred #CJ