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Machine Learning Intern (m/w/d)

Why you should join us

  • Over the past few years Candis has become one of Germany’s most exciting Fintech scaleups. We’re united by a drive to revolutionize one of the most outdated industries - accounting - creating more simple and transparent accounting software used by thousands of people. We love to challenge ourselves and our comfort zone but we also host awesome team events and empower our team members to have a good work-life balance. We don’t just try to create a fun working environment, we also try to create stimulating jobs - with significant career progression and constant learning opportunities in an agile organization that enables input from all levels. You’ll be joining a seasoned engineering team and be mentored by Senior Full Stack Developers and ML Engineers. We’re offering you the opportunity to apply your theoretical knowledge directly to multifaceted projects & real-world problems.

    • Aside of that, here come the bullet points:

  • Full-time (40h) - 6 months
  • 2.000€/ month
  • Budget for conferences, books, e-learning, courses etc. We want to empower your personal growth.
  • Flextime & home office policies. We care about sh*t getting done - not about the minute you clock in.

About the Role

  • Let’s start with our workflow: we develop most of our data science and machine learning related projects in Python, Pandas, Scipy, Scikit-learn and Keras. Our tool kit consists of Jupyter notebook and iPython and we deploy on AWS using Kubernetes, Docker, AWS Sagemaker and AWS Lambda. We follow Kanban to organize our day-to-day work, which means that we can not only react quickly to changing requirements & priorities but also that the individual team members - to a large degree - choose which projects they pick up.

    You’ll be the first intern to join our ML team and you can look forward to being an integral part of it. The focus during your internship will be on answering research questions posed by our engineering teams and business stakeholders to gain actionable insights. Aside of the research part, you’ll also run analyses on varying projects, push them to shared repositories and get immediate feedback on your code from your peers.

    • Some of the projects you might be working on include:

  • Automating extraction of a wide variety of data fields from financial documents using state-of-the-art technologies
  • Deep learning-based projects like extracting named-entities from pixel representations of documents
  • NLP- & rule-based extraction modules for accounting-related fields
  • Cost center extraction by learning user behaviour (online learning)

You must have

  • Basic knowledge of a modern programming language like Python, JavaScript, Ruby, or Java
  • Exposure to statistics during your studies
  • Experience in working with SQL/NoSQL databases

Who we're looking for

  • If you’ve shown that you’ve got the grit to follow through on tough projects revolving around web development that’s a great start. We don’t expect you to be an expert in everything you do but we’re searching for someone who will proactively look to fill out knowledge gaps and who brings an innate desire to acquire new knowledge and skills.
    If on top of that you’ve already gotten involved with Machine Learning and/or natural language processing that would be the icing on the cake!

Don't worry about formalities.
We care about you and your motivation – not the font size of your CV! 🙋‍♀️

Feel free to contact us via e-mail, give us a call, drop by the office or send a pigeon our way. Either way, we’re looking forward to hearing from you! :)

+49 (0) 30 311 930 - 26
WhatsApp: +49 (0) 176 717 560 13

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