AI/ML Engineer focusing on machine learning applications in oncology. Developing analytical solutions to enhance patient selection and drive next - generation assets in healthcare.
About the role
- AI Machine Learning Engineer enhancing data collection and developing models for analytics and machine learning at Cayuse. Collaborating with teams to integrate AI solutions and optimize performance.
Responsibilities
- Enhance data collection procedures to support analytics and machine learning systems
- Develop, test, and optimize machine learning models for classification, regression, clustering, or recommendation tasks
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Deploy trained models into production environments using APIs, containers, or cloud services
- Monitor model performance and implement improvements or retraining strategies
- Develop automated pipelines for continuous integration, delivery, and model retraining
Requirements
- 1-3 years of experience in the field or in a related area
- Knowledge of commonly used concepts, practices, and procedures within a particular field
- Strong knowledge of programming languages (e.g., Java, Python, C#)
- Proficiency in open-source machine learning (ML) and artificial intelligence (AI) frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
- Bachelor’s or master’s degree in Computer Science, Machine Learning, or related field (Desired)
- Must be able to pass a background check
Benefits
- Medical, Dental and Vision Insurance
- Wellness Program
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability options
- Basic Life and AD&D Insurance (Company Provided)
- Voluntary Life and AD&D options
- 401(k) Retirement Savings Plan with matching after one year
- Paid Time Off
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