The ideal member will be a change agent, altering the status quo of healthcare delivery. You and your fellow team members will provide an innovative and empathetic ecosystem of transparency to our customers. New Team Members will join feeling energetic and excited to revolutionize the healthcare continuum and contribute to the success of our mission driven organization. Now is the time to seize the moment for consumer-centered digital health experiences and join our team.
Your Impact at
We are seeking a highly skilled and experienced Artificial Intelligence and Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in AI / ML technologies, with specific expertise in Amazon Bedrock and SageMaker. This role requires proficiency in working with multiple large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), governance, and model auditability.
Key Responsibilities :
Design, develop, and deploy machine learning models using Amazon Bedrock and SageMaker.
Implement and optimize large language models (LLMs) for various applications.
Develop and refine prompt engineering techniques to enhance model performance.
Utilize retrieval-augmented generation (RAG) to improve information retrieval and generation processes.
Ensure governance and compliance of AI / ML models, including model auditability and ethical considerations.
Collaborate with cross-functional teams to integrate AI / ML solutions into products and services.
Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency.
Stay updated with the latest advancements in AI / ML technologies and apply them to ongoing projects.
Experience leveraging the Model Context Protocol.
What You'll Need to Make Your Impact
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience with Amazon Bedrock and SageMaker
Strong understanding of large language models (LLMs) and their applications.
Expertise in prompt engineering and retrieval-augmented generation (RAG).
Knowledge of AI / ML governance and model auditability practices.
Proficiency in programming languages Python or R
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities.
Experience with other AI / ML platforms and tools is a plus including DataBricks, Salesforce Agentforce or Einstein.
Experience in Healthcare and Healthcare data is a plus
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