Machine Learning Engineer
Kiwatt
About the role
About Kiwatt
Kiwatt was founded in 2019 and aims to simplify energy storage for entrepreneurs and individuals. Kiwatt is an important player in the energy transition by offering smart solutions for energy storage. We ensure that every company has control over its own generated energy. We are continuously developing and optimizing our products. Dreaming about a sustainable installation is nice, but actually doing something is better. We are not a traditional company, but innovative and fast-growing. We are always looking for specialists. The energy transition is in full swing and you can contribute to it!
Curious about Kiwatt? Just come and take a look!
What you'll do as a Machine Learning Engineer?
- You develop and maintain various models for optimal use of our battery. Think about predicting different energy markets, optimally predicting customer consumption and generation, and predicting battery performance.
- You are constantly looking for the right solution using Machine Learning, AI, data or heuristics to add the most value to our products.
- You maintain these models and expand them based on market developments and feedback from colleagues and customers.
- You ensure that the data from these models feed our algorithm so that the battery is optimally deployed.
- Together with our software engineers, you devise new ways to adapt the battery control to changing market conditions and customer profiles.
- Together with our software engineers, you work on improving our system, for example through predictive maintenance and error analysis based on internal data.
Who are you as a Machine Learning Engineer?
- You have a completed HBO or WO education in Data Science/AI, Mathematics or Computer Science.
- You have a background in and experience with machine learning and data science.
- You have knowledge of the energy market or are willing to acquire it quickly.
- You have experience programming in Python and experience with Machine Learning tools such as Tensorflow.
- You have experience with Javascript or are willing to learn it quickly.
- You have knowledge of MLOps for version control, testing and deploying Machine Learning models.
- Drive and passion? You have that. Of course, you are happy when you have the weekend, but you are just as happy when you can go back to work on Monday morning.
- You value quality, just like us. You want to finish something beautiful completely and ensure a perfect finish. The bar is set high and that is the greatest challenge for you.
Working in our team
The energy transition is in full swing and as a Machine Learning Engineer at Kiwatt, you can make an important contribution to it. Our products consist of advanced hardware and software. And here lies your challenge! By implementing smart software, you contribute to improving our energy solutions. You know how to translate consumer wishes into practical solutions. As a Machine Learning Engineer, you and your team will accelerate the energy transition. We regularly organize fun outings, such as a BBQ. This way you get to know your colleagues in a different way too!
What you get with us as a Machine Learning Engineer?
- A salary of up to 4500 euros gross per month based on a 40-hour work week, depending on education and experience.
- Challenging activities that will make your technical heart beat faster.
- Attention to your development and growth potential.
- An enthusiastic and motivated team of driven professionals in an inspiring location.
- Fun drinks, BBQs and parties: we believe in connecting with each other.
- € 0.23 per km travel expenses reimbursement.
- A good pension plan.
Machine Learning Engineer at Kiwatt: your job?
Do you want to get started at Kiwatt as a Machine Learning Engineer and get the best out of yourself? Let's meet soon.
Still have a question? Ask it to...
Name: / Daan Kampert
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Great achievements are only possible if we work together as a close-knit team. So if you are a team player looking for a challenging career or internship, you have come to the right place. Come work at Kiwatt!
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