Responsibilities
Collaborate with data experts, subject matter experts in AI, and customer teams to seek, understand, validate, interpret, and correctly use data and business insights.
Train, validate, and deploy machine learning pipelines.
Test, troubleshoot, and enhance customer software applications in collaboration with customers.
Identify application performance bottlenecks and implement optimizations.
Write application specifications, tutorials, and documentation.
Use statistical analysis and modeling techniques to derive insights from decentralized datasets, supporting data-driven decision-making.
Explore opportunities for integrating machine learning models for enhanced data processing and analysis.
Qualifications
Active Secret-level security clearance with the Department of Defense (DOD) is required.
BA, MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
Strong mathematical background (linear algebra, calculus, probability, and statistics).
Proficiency in time-series data analysis, cleansing, and normalization.
Experience with scalable Machine Learning (MapReduce, streaming).
Software development experience with JavaScript and Python.
Experience with Git or other version control software.
Ability to drive projects and work both independently and in a team.
Smart, motivated, with a can-do attitude and a desire to make a difference.
Excellent verbal and written communication skills.
Benefits Package:
Medical, dental, and vision insurance.
Paid PTO leave.
Life and disability packages.
Contributions to employees' futures with vesting starting from day one.
Technical training, tuition bonuses, and more.