onsite
Machine Learning Associate Advisor - The Cigna Group
ML Engineer
Support AI-driven health solutions by developing and fine‑tuning machine‑learning models, crafting effective prompts, and analyzing data using Python and cloud services.
About the role
Key Responsibilities
- Design, develop, and evaluate machine‑learning models for healthcare prediction and prevention use cases.
- Craft and optimize AI prompts to improve model performance and user interaction.
- Perform data preprocessing, feature engineering, and exploratory analysis on large health datasets.
- Deploy and monitor models on cloud platforms such as AWS, ensuring scalability and reliability.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
Requirements
- Bachelor's degree in Computer Science, Data Science, or related field; relevant experience preferred.
- Proficiency in Python and common ML libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Experience with prompt engineering and natural language processing techniques.
- Familiarity with cloud services (AWS) for model deployment and monitoring.
- Strong analytical skills and ability to communicate technical concepts to non‑technical stakeholders.
Skills
machine learningpythondata analysisawsnatural language processing