Omada Health

Senior Applied AI Engineer

Remote, USA · Senior

Sponsorship not specified$201k-$251kDetected 5 days ago

AWSGCPAzureCloud PlatformsRESTMachine LearningPyTorchLLMsAgileResearchCollaboration

About the role

Omada Health is a digital care provider that empowers individuals to reach their health goals through sustainable behavioral change.
Exceptional software with targeted AI applications is essential for delivering effective care at a broad scale.
This is a critical role that combines deep technical expertise with a practical understanding of applying AI in impactful ways.

Design and Development: Lead the creation of AI solutions specifically harnessing the power of LLMs.
Performance Monitoring: Create models that drive business outcomes and make iterative improvements based on data-driven insights.
Proactively collaborate within the Applied AI team and cross-functionally with other development teams, product and business stakeholders to iterate on ideas, solve problems, and achieve shared goals.
Create models that drive business outcomes and make iterative improvements based on data-driven insights.
As we build together toward our mission, we strive to embody the following values in our day-to-day work.
We ask to understand and we build connections.

5+ years of experience deploying AI models with demonstrated business impact.
Proven track record of designing, deploying, and managing end-to-end AI solutions, with a particular emphasis on Generative AI, prompt engineering techniques, and fine tuning.
Deep Expertise in utilizing tools for Generative AI interaction (OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, llamaindex)
General experience in cloud ML platforms (AWS, Azure, GCP), especially with their ML services (Sagemaker and Azure ML)
Successful monitoring of model performance post-deployment, with an ability to link AI solutions to tangible business impacts.
Familiarity with Agile methodologies, demonstrating effectiveness in a fast-paced, iterative development environment.
Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into broader applications using your experience with cloud platforms like AWS and Azure.
Deployment and Impact: Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into broader applications using your experience with cloud platforms like AWS and Azure.

Deploy models within an Agile development framework, showcasing flexibility, rapid iteration, and a commitment to constant improvement.

Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.

re committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care st

This listing is sourced directly from Omada Health's careers page and normalized into a canonical job model.