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 People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data.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, software development, and both people and project management. As a Machine Learning Team Captain, you will act as a player/coach: helping grow and develop Machine Learning Engineers in addition to executing on machine learning projects. By planning the team’s work, ensuring the quality and the constant improvement of the team’s capabilities, and frequently pushing the boundaries of our capabilities, you will know that you are a successful Team Captain

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 Mathematics, Statistics, Computer Science, Physics, or in an Engineering or Sciences discipline or related degree
• At least 4 years experience in analytics or data science, or a Masters degree in one of the abovementioned fields and 2 years of relevant/scientific experience
• At least 1 year of experience leading, mentoring, and developing either machine learning, data science, or analytics practitioners
• Experience with Agile tools, Jira, Trello, Pivotal Tracker, or related

• Strong mathematics and data analysis skills
• Solid understanding of data types, structures, and algorithms
• Experience with ML tools: Keras, Jupyter Notebooks, Pandas, scikit-learn, Flask, OpenCV, Tesseract, Numpy, or similar
• Able to communicate technical issues with technical & non-technical stakeholders

Preferred Skills/Experience Nice to Have:

• Graduate degree in a mathematical, scientific, or engineering discipline
• Experience in analyzing healthcare or biomedical data
• Past involvement or exposure to authoring research papers, findings reports, or conference proceedings
• Understanding of Continuous integration, testing, deployment & release methodologies
• Version control such as GIT, Subversion, Team Foundation
• Ability to understand large scale software & system architecture