Machine Learning Engineer

OLIVE
OLIVE

Job Overview

Olive is healthcare’s first intelligent digital workforce and has been successfully deployed at numerous healthcare systems across the country. Olive helps streamline and automate the most high-volume, repetitive tasks so healthcare professionals can concentrate on their patients and solving healthcare’s most challenging problems. Olive’s promise to her customers is that she finds out where she can make an impact, onboards quickly, shows up to work everyday, does her job extremely well, and gets smarter over time.

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.

Responsibilities:

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

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