Role overview
POSITION SUMMARY:
TapestryHealth is seeking outstanding candidates with strong predictive analytics, machine learning, natural language processing, python automation, and data visualization, experience. Success in this role requires dedication to excellence in helping TapestryHealth to deliver high-quality care and promote broad adoption of our technology with streamlined, data-informed processes.
We are looking for a Machine Learning Engineer to analyze large data sets to inform
improvements in our services and operations using advanced Machine Learning, Large
Language Models, AI, and other advanced methods. We will rely on you to build tools and products to extract valuable business insights for both internal users and client users.
What you'll work on
- Design, develop, and put in production machine learning (ML) solutions
- Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning.
- Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
- Participate in code reviews, testing, and quality assurance processes.
- Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
- Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
- Document and communicate development processes, system designs, and architectural decisions.
- Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
What we're looking for
- Experience in working with team members to promote ideas, issues, and initiatives within a constructive group framework
- Must always represent the organization in a positive and professional manner
- Ability to organize and prioritize tasks
- Ability to work independently, be attentive to detail and maintain a positive attitude.
Tags & focus areas
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