MLOps Engineer
Cedar is a patient payment and engagement platform that leverages data science, consumer-centric design and technology to improve the healthcare experience for patients.
Cedar has built a platform to connect patients with healthcare providers in a way that helps address the critical challenges of patient billing and payment. Our technology improves the overall experience of patient engagement, enabling providers to excel in a constantly evolving environment while helping patients understand the cost of their care.
Over the past 5 years we have developed a data driven decision making culture underpinned by experimentation. As a result of this, we have significantly improved the health care billing experience for patients on our platform. We are now approaching the next step of our evolution as we seek to introduce more sophisticated personalization to our service. This will focus on using our experimental data to design and use machine learning models to provide optimal personalization, recommendation and automation. We are seeking a MLOps Engineer to work with the Data Science team.
* Cedar is committed to a flexible work environment, so this as well as many of our roles are remote friendly.
Responsibilities
- Collaborate with data engineers, developers, and technical leads to deliver ML-based systems that can be deployed both in the cloud and on edge using AWS Sagemaker and containers
- Partner with Data Engineering to produce data feature pipelines
- Design machine learning feature stores in collaboration with Data Science
- Implement a robust system for measuring and optimizing the quality of deployed algorithms and models.
- Build and maintain the CI/CD pipeline for ML; Institute a process to handle model development, with an emphasis on auditability, versioning and data security
- Share knowledge with team members & participate in various learning-sharing activities
Skills & Experience
- Understanding of data structures, data modeling and software architecture.
- 3+ training, deploying, and monitoring machine learning models with extensive knowledge of evaluation metrics and best practices
- Software Engineering proficiency in at least one high-level programming language (Java, Scala, Python or equivalent) used both for ML and automation tasks
- Experience with relational SQL and/or NoSQL databases, i.e. AWS RDS, Snowflake.
- Experience in machine learning operations using at least one of the popular frameworks or platforms, e.g. AWS Sagemaker
- Experience with automated data pipeline and workflow management tools, i.e. Airflow.
- Experience with common ML frameworks such as Spark, MLlib, Tensorflow, PyTorch, XGBoost, or scikit-learn is preferred
- Experience working with rapid product development in an agile environment is preferred
- A passion for bringing ML to production
What do we offer to the ideal candidate?
- An opportunity to work on a platform that is scaling very rapidly, engaging with millions of patients per year and growing at a rate of 360% YoY as of January 2021
- A chance to join a high-growth company at an early stage
- The ability to impact the growth of our company, we value all comments and suggestions
- Transparency across teams and interaction with multiple departments
- Competitive pay, employer-paid healthcare, stock options
Applicants must be currently authorized to work in the United States on a full-time basis. Cedar will not hire any applicants for the MLOps Engineer Lead roles who are present in the United States on an F-1 visa. Cedar is not an E-Verify employer and cannot employ individuals on a STEM OPT extension.
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