Job Description

We are a high-growth technology company, building its articial intelligence engine to all aspects of the Healthcare industry and beyond.

We are looking for an experienced Software Engineer to develop, test and support application components in our Machine Learning (ML) as a Service (MLaaS) product. Your primary focus will be software development, ensuring that completed applications are modular, maintainable, secure and responsive. You will also be working closing with our DevOps Engineers to ensure efficient deployment, effective monitoring and metering of the deployed applications.

• A Leader - You are a dynamic, self-motivated, creative thinker, with an appreciation of our corporate vision and goals.

• A Driver - You have a passion for success and are always trying to perfect your craft. You do not stop until you reach or exceed your goals.

• A Collaborator - You take ownership of your work but also willing and able to work across teams in a matrix environment where you share your strengths and ideas with others.

• Writing reusable, testable, and efficient code.

• Implement unit and component tests.

• Integration of application components into our overall MLaaS architectural framework.

• Implementation of security and data protection.

• Support deployed applications.

• 5+ years of relevant work experience.

• Experience in machine learning and data analysis a plus.

• Expert in Python, with knowledge of at least one Python web framework such as Flask. You will be required to take a live coding interview.

• Experience with Golang programming language is a plus

• Familiarity with some ORM (Object Relational Mapper) libraries such as SQLAlchemy.

• Good understanding of server-side templating languages such as Jinja 2.

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Knowledge of user authentication and authorization between multiple systems, servers, and environments such as OAuth2 and OpenID.

• Understanding of fundamental design principles behind a scalable application.

• Strong unit test and debugging skills.

• Proficient understanding of code versioning tools such as Git.

• Degree in Computer Science, Computer Engineering or related courses.

• Familiarity with ETL and data warehousing concepts will be advantageous.