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Responsibilities:
- Build, train, and optimize machine learning models, including NLP and predictive systems.
- Analyze structured and unstructured datasets and support data pipeline creation.
- Contribute to experiments, model evaluations, and performance benchmarking.
Requirements:
- Hands-on academic, research, or project experience in machine learning, data analysis, or software development.
- Proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow.
- Familiarity with Git, APIs, and software development practices.
Additional Qualifications:
- Knowledge of MCP and A2A protocols or willingness to learn.
- Experience working with NLP or unstructured text data.
- Exposure to AI/ML experimentation, benchmarking, or research environments.
VetsEZ
VetsEZ is dedicated to providing expertise and innovative solutions. They focus on healthcare delivery, benefits processing, and operational efficiency within the Department of Veterans Affairs. They are an equal opportunity employer.