alcemy was founded 1.5 years ago to tackle the massive CO2 footprint of the cement and concrete industry. Concrete is used everywhere, for building homes or for infrastructure like roads, bridges, and tunnels. However, concrete is responsible for almost 9% of worldwide carbon emissions.
We change this! Our intelligent production control software enables everyone in the concrete supply chain to make the most efficient use of their resources. Our goal is to be the world's first company that can produce green concrete made out of a 50% natural limestone-infused cement reliably and at scale.
Besides having ownership of our frontend, this role poses a great opportunity to work with a data-heavy solution at the intersection with machine learning.
You’ll join a team where everyone - including you - is curious and striving to improve our processes, infrastructure, and customer experience. We are passionate about helping our customers and always approach them and each other in a supportive and appreciative way.
We value sustainability and try to integrate and improve that in our office life as well. Our plans to reduce carbon emissions are big. To accomplish them we have to grow as an organization and as individuals, which is why we appreciate giving and receiving feedback.
At alcemy, we use Amazon Web Services (AWS) which enables us to roll out our product at a fast pace. Our infrastructure is managed in terraform and our Docker-based services run on Amazon ECS. The backend and machine learning tasks use Python, Flask, and PostgreSQL, as well as Python's numeric and machine learning ecosystem (NumPy, pandas, scikit-learn, scikit-opt, pytorch, etc.).
Our customer-facing web app is implemented in Dash/Plotly which allows us to prototype quickly and enables us to integrate the machine learning models directly. Furthermore, we emphasize continuous integration and development to ensure a working production environment.
The roadmap described above does not apply. In addition to the above mentioned skillset, we are also looking for skills in REST API development and python backend development with flask. When applying, please send your hourly rate and availability.