ClearanceJobs
AI MLOps Data Engineer - PYtorch, Python, Advanced math
ClearanceJobs, Falls Church, Virginia, United States, 22042
Secret IT - Database
This is an on-site project - with a possible 1-2 days WFH. DOD secret or higher is preferred - US citizenship is a must. All qualified candidates will be responded to in 24 hrs or less. Employment type: Full Time W-2 or Contract. 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 an 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. Dod Secret or higher preferred.
This is an on-site project - with a possible 1-2 days WFH. DOD secret or higher is preferred - US citizenship is a must. All qualified candidates will be responded to in 24 hrs or less. Employment type: Full Time W-2 or Contract. 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 an 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. Dod Secret or higher preferred.