Machine Learning Engineer

Machine Learning Engineer

This job has closed but is shown for context on data science work at Olive.

Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.

The focus of the Machine Learning Engineering team is to develop models and logic to address customers’ needs, package the codebase for testing, and deploy it to production environments. The ideal candidate understands machine learning as well as software development best practices— from collecting and preprocessing data for training, validating, and testing machine learning models to unit and integration testing, deployment, and maintenance. As a Machine Learning Engineer, you will be expected to have the ability to work collaboratively with customers and other engineers to demonstrate value in sprints.


  • Collaborate with team members to deliver ML and RPA solutions including but not limited to data analytics and analysis, ML model training, and RPA implementation
  • Identify machine learning architectures and models to solve complex data problems
  • Work with multiple stakeholders to deliver automated workflows in a timely fashion
  • Use software development programs and operating systems for development
  • Define new techniques and best practices for all areas of req and ML
  • Provide feedback to product and development teams to improve our in house tools
  • Document process, procedures, and training materials for staff and stakeholders
  • Attend daily stand-up and periodic team meetings
  • Bachelor Degree in Computer Science, Computer Engineering, Physics, Applied Mathematics, Systems Engineering, Electrical Engineering or other related degree or experience
  • Strong mathematical and data analysis skills
  • Solid understanding of data types and structures
  • Knowledge of remote connectivity applications: Citrix Receiver, Horizon VMWare Client, RDP
  • Version control such as GIT, Subversion, Team Foundation
  • Ability to understand large scale software & system architecture
  • Able to communicate technical issues with technical & non-technical stakeholders
  • Experience in one of the following programming languages: Python, R, SQL, and Javascript

Preferred Skills/Experience Nice to Have:

  • Experience with Python ML tools: Keras, Jupyter Notebooks, Pandas, scikit-learn, Flask, OpenCV, Tesseract, and Numpy
  • Experience with Agile tools, Jira, Trello, Pivotal Tracker
  • Understanding of Continuous integration, testing, deployment & release methodologies
  • Automation Anywhere, Blue Prism, Autolt experience
  • Understanding of Computer Vision
  • Proficiency with recent Windows Server operating systems
  • Healthcare IT and EHR knowledge
This job has closed but is shown for context on data science work at Olive.
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