Data Engineer responsible for developing research analytic data infrastructure at Sutter Health. Involves managing data quality, pipelines, and compliance with healthcare regulations.
About the role
- Senior Data Engineer focusing on Retrieval-Augmented Generation (RAG) and AI solutions at LexisNexis. Collaborating with teams to integrate AI into existing systems and optimizing models for performance.
Responsibilities
- Test, evaluate and implement AI models with a focus on Retrieval-Augmented Generation (RAG)
- Strong prompt engineering and prompt testing skills to derive the desired outcome
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Optimize and fine-tune RAG models for performance and scalability cost saving
- Conduct research and stay up-to-date with the latest advancements in AI and machine learning
- Write clean, efficient, and maintainable code in Python
- Perform data preprocessing, feature engineering, and model evaluation
- Troubleshoot and debug AI models and applications in a mono-repo settings
- Document AI models, processes, and workflows
- Train entry-level data engineers as directed by department management
- Keep abreast of new technology developments
- Design and works with complex data models
- Identify opportunities to apply automation or other tools to improve effectiveness or efficiency
- Work closely with other development team members to understand complex product requirements
- Mentor less senior data engineers on methodologies and optimization techniques
Requirements
- Proven experience as a Data Engineer/ AI Engineer or similar role
- Strong proficiency in Python programming
- In-depth knowledge of Retrieval-Augmented Generation (RAG) models
- Proven experience in prompt engineering
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
- Proficiency in data preprocessing and feature engineering techniques
- Excellent problem-solving skills and attention to detail
- Strong communication and teamwork abilities
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
- Knowledge of natural language processing (NLP) techniques
- Familiarity with version control systems (e.g., Git)
- Experience with deploying AI models in production environments
Benefits
- Comprehensive, multi-carrier program for medical, dental and vision benefits
- 401(k) with match and an Employee Share Purchase Plan
- Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
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