TS/SCI AI MLOps Data Engineer - PYtorch, Python, Advanced math
- Dulles, VA
- Permanent
- Full-time
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