Commence is looking to leverage AI and machine learning to transform the public sector by improving health outcomes and creating more efficient processes for healthcare programs and patient health.
Requirements
Strong foundation in Python programming and familiarity with ML frameworks and data manipulation libraries (NumPy, pandas, etc.).
Understanding statistics, model evaluation, and feature engineering.
Familiarity with cloud environments (AWS preferred) and version control (Git).
Responsibilities
Support the end-to-end lifecycle of machine learning solutions—from data collection and preprocessing to model training, testing, and deployment.
Work with large, complex, and often sensitive datasets to uncover insights and patterns that inform smarter decisions.
Apply your knowledge of Python and modern ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) to build and refine predictive models.
Collaborate with senior engineers to optimize, scale, and automate ML workflows using AWS cloud services.
Participate in code reviews, peer learning sessions, and technical discussions to continually improve your skills.
Contribute to documentation, monitoring, and model evaluation to ensure accuracy, transparency, and compliance with healthcare and federal standards.
Other
1–3 years of hands-on experience in machine learning, data science, or software engineering (academic, internship, or professional).
Bachelor's degree in computer science, Data Science, Mathematics, or related technical field.
Curiosity, initiative, and a growth mindset; you’re eager to learn, experiment, and iterate.
