Appsilon is an ambitious and fast-growing software house and consultancy specializing in decision support systems and machine learning with Fortune 500 clients across the globe. We are a unique company driven by a mission to improve our society and environment. Some examples of our #AI4good work include contributing to animal preservation in Gabon Parks, building COVID-19 dashboards, and improving data science tools for Doctors Without Borders.
We are a global leader in R and Shiny, which are used by companies of all sizes to build analytical applications. When companies run into difficult problems or want to initiate large-scale enterprise projects, they come to Appsilon.
Before you apply, please read our code of conduct.
We are looking for an external Senior React Developer to join a project for a Fortune 100 pharmaceutical company.
About the project:
Our client needs a portal that allows supply chain analysts to progress through their daily tasks. The primary goal of the portal is to standardise, automate, and optimise the company’s current workflows. The portal, as a full planner ecosystem, will also make it easier for analysts and managers to see the complete end-to-end picture of the company supply chain.
At this point we are in the initial implementation phase and will face challenges in implementation and post implementation system development. The person joining will be responsible for taking ownership, understanding, developing and improving the Frontend part of the application. The team is using agile methodologies and Scrum. You’ll work with Product Owner, UX Designer, Scrum Master and 3 other Frontend and Backend developers.
We are looking for a specialist whose experience and knowledge will enrich our team and allow us to take new, previously unknown directions.
Basic tasks will include:
You are good for this role if you:
What’s in it for you:
What can you expect during the recruitment process?
Every few months we start completely new projects and dive into a new industry. One day we might discover the secrets of promotions in retail chains, another day we might analyze satellite images using machine learning. Our projects are not only an opportunity to test our skills in difficult statistical, algorithmic, and technological problems but also an opportunity to learn how many different industries work from the inside.
In this app, you can explore an AI model that the Appsilon AI team built for the xView2 competition. The model locates buildings and assesses damage sustained after natural disasters.
This app allows for an interactive exploration of disaster risk and development indicators in Madagascar.
When we build scalable and reliable enterprise dashboards, we focus on UX and a modern aesthetic that improves our models' functionality.