Solving challenging problems and contributing to the development of cutting-edge AI/ML algorithms for defense and commercial applications.
Requirements
Proficiency in Python and frameworks/libraries such as PyTorch, numpy, DSPy, LangChain, pandas, and polars.
Experience with machine learning frameworks and algorithmic software.
Experience with unsupervised and/or supervised machine learning techniques.
Ability to develop algorithms based on statistical analysis.
Strong skills in analyzing large datasets and building inference models.
Familiarity with Agentic AI concepts such as LLMs, RAG, Chain of Thought, MCP, A2A.
Responsibilities
Collaborate with a small team of developers and researchers to implement machine learning algorithms for various customer challenges.
Analyze large multi-domain datasets, including images, text, and graph data, to identify statistically relevant features and build models providing actionable insights.
Utilize cloud services for training and deploying ML models.
Review relevant publications to apply cutting-edge concepts to defense and commercial applications.
Prepare technical documentation supporting code, program capabilities, and user guides.
Other
At least 3 years of experience.
At least 2 years of experience in developing AI/ML applications, data science, or algorithm development.
Active TS/SCI clearance with polygraph level and Fullscope.
Professional dress code suitable for a collaborative and innovative atmosphere.
