Good to see you here, Dev! As you probably figured, we are looking for reinforcements to join our team. We seek people with a passion for code and the curiosity to understand how the world works to find the meaning in all we do.

It's definitely an asset to have a profound competence in some of the technologies we are using – or going to use. We do need people that can extend our skillset right from the beginning. But since passion and curiosity beat skills over time, skill is not the primary thing we're looking for.

Our product is a wide combination of design, psychology, data acquisition, data processing, data analysis, web and mobile interfaces, various databases, cloud servers, and APIs.

In the end, it's a negotiation AI that handles conversations better than human beings. To work, the system must have the best possible data available and the capabilities to figure out the next move and to generate the natural language to communicate it. Sounds like a challenge you're up for? Interested to hear more?

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As a Machine Learning Engineer, you are going to...

• Be an essential part of our ML team.

• Discover, experiment, and implement the newest applicable machine learning technologies in our data processing, and analyze data. Quite often this relates to NLP.

• Design and implement full data pipelines (with online learning) around these ML applications. Take responsibility for continuous improvement.

• Design and implement training data collection processes and be responsible for the quality of the training data.

• Apply Clean Code principles, test your code, and review others' code.

This means that you'll need to...

• Have proficiency in Python.

• Have proficiency in common ML libraries like sklearn and TensorFlow.

It would be of help to also...

• Know Kafka

• Know SQL (PostgreSQL)

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When you join us, you are going to be trusted – probably more than you'd ever expected. We are a small, fast-learning team that you can lean on and spar with, but who also expects you to look for the answers and bring new solutions to the table. We trust that every one of us is actively looking for ways to make our system better, to make our customers happier, and we believe that every one of us can discover the next big idea that takes us forward. We are, above all, honest and respectful.

You'll get the best tools you need and a fair salary. We do not support full-remote working since we believe that physical presence plays a significant role in culture-building and effortless communication. Still, once you've worked with us, remote work is a way of doing your thing.