Salary
💰 $100,000 - $130,000 per year
Tech Stack
AWSCloudNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
- Support the design, development, and deployment of ML models that drive real-world outcomes.
- 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.
Requirements
- 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.
- 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).
- Curiosity, initiative, and a growth mindset; you’re eager to learn, experiment, and iterate.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata sciencePythonScikit-learnTensorFlowPyTorchdata manipulationstatisticsmodel evaluationfeature engineering
Soft skills
curiosityinitiativegrowth mindset