AI/ML Engineer

The role

You will design and build AI/ML use cases to automate healthcare billing and revenue cycle management. You will architect AI infrastructure, drive technical strategy, and scale products through machine learning and LLM approaches.

What you will do

• Build AI features into the platform to deliver outcomes for internal teams and external customers
• Identify and drive opportunities for AI/ML techniques to deliver business value
• Research industry best practices and leverage state-of-the-art technologies
• Scale and deploy initial prototypes across the customer base
• Partner with leadership to automate products and workflows like claim submission and resubmission
• Drive the AI and product roadmaps
• Architect infrastructure to leverage AI across the product
• Structure and format data to support AI development
• Establish processes for model training, testing, and monitoring

Required qualifications

• Bachelors or Masters of Science in Computer Science, Computer Engineering, Math or other similar degree
• 5+ years of experience building software of significant scale and complexity
• 3+ years of AI engineering experience in a professional setting
• Built systems that leverage ML technologies
• Understand the pros, cons, and tradeoffs of leveraging various AI solutions
• Know the right architecture and patterns to build for value and scale
• Clear and concise communicator

Nice to have

• Applying AI to real world solutions
• Google Cloud Platform
• BigQuery
• PostgreSQL
• Metabase
• Terraform
• Python

Benefits

• Equity
• Employee benefits

About the company

Candid Health is on a mission to revolutionize healthcare by solving the billing and revenue cycle management process. They use a revenue cycle automation platform to simplify billing and enhance claims processing.