AI MLOps Data Engineer - PYtorch, Python, Advanced math

This is an on-site project - with a possible 1-2 days WFH.
DOD secret or higher is Preferred- US Citizenship 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 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

#CJ