Join us as SOFTWARE ENGINEER
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We improve and deploy our machine learning pipelines daily. As software engineer you will help us build, maintain and scale these pipelines. If you are self-sufficient and have some experience in
software engineering, then this job might be for you.
Python and Tensorflow is our stack. But to be precise: Docker, Python, Tensorflow, Panda's, Bokeh, Scikit, Airflow, PyTorch, SQL and NoSQL databases. Your focus will be on building our building
blocks in Python, build API connections and create workflows in Airflow. This can change from week to week as we build what needs to be built, based on your and our insights and based on what our
You are able to code pragmaticly. You can switch from highly effective to highly perfectionate. You see when code is badly written and know how to improve it. You can challenge us in making
better software decisions.
Customer delivery and therefore pragmatism is our number one priority. However, number two is scalable. Wherever possible, you will build our system with lego blocks that can be re-used in other
Domain knowledge in energy or engineering is a plus. As is experience in forecasting time-series or working with restless flask APIs.
We are a clean-tech start-up (location a bit undecided where to strike down). Our goal: Create awesome technologies that accelerate the energy transition. We do that by using ML software to
create services to energy retailers and large-scale energy-related asset managers.
We are still small and agile and aim for scalable stuff. We believe that our clients find our personal and custom-made approach vital. This means lots of responsibility, a can-do-mentality and
sometimes build something that you haven’t done before.
We are very ambitious. And we like to play. Liking your own life is more important than the short-term output of us as individuals. Therefore we encourage you to plan work around the hobbies you
want to pursuit.
Here 's a bit more about Dexter and what we do and who we are.
Your main focus will be to write production code, clean and robust. The different components are based on one-off services we sell. The reusability should be maintained as we are scaling up our
You make sure that our software architecture remains overseeable. You build new blocks, but help us improve the existing ones.
You will be working closely together with our head machine learning. He will be your sparring partner. Together you will be responsible of the whole system.
> Work in clean-tech and have an impact on the envrionment
> Build a cool company in a highly motivated and entrepreneurial team
> Low hierarchy and quick decision making
> Open culture where learning quickly is key (especially faster than our competitors 🙂 )
> With retention comes a piece of the pie