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TS/SCI AI MLOps Data Engineer - PYtorch, Pyton, Advanced math
Dulles, VAThis 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
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