(Senior) Machine Learning Engineer (all genders)

Full Time
Berlin, Germany
3 months ago
Kertos Intro

⚠️ Given the nature of this research project's funding, you have to be a resident of Berlin, Germany and open to spending 2-3 days in the office on site there. If this is not your case, please don’t apply, as it is a hard requirement. Please also note that we cannot offer assistance with relocation or visa sponsorship at the moment.

Your purpose at Kertos

You’re part of our newest Product Squad in Berlin which will focus on our latest research project to push the automation capabilities of the Kertos Platform even further. As Machine Learning Engineer here at Kertos, you’ll own the machine learning aspect of this project, where we continuously integrate cutting-edge models and frameworks to bring various LLM-based features to life. From conceptualising models, knowledge graphs to bringing the models to live and ensuring its functionality across the whole lifecycle of our models – you’ll have a huge impact on the future of our company and revolutionise the information security and data privacy landscape with us!What you’ll be doing here:

  • Contribute in product development: bring in your ideas and automate workflows, improve suggestions and increase user satisfaction even further
  • Develop technical concepts and approaches across the whole development lifecycle
  • Collaborate with your team members to achieve internal automation  as well as a seamless integration into our existing tech stack
  • Integrate MLOps principles and tools that help you and your team for development
  • Make sure the developed models work as expected in our production environments in a secure and stable way
  • Be creative in acquiring new data automatically to enhance our models and systems
  • Build the foundation of various AI-driven use cases for the Kertos platform

The skills, motivation, and mentality you should bring

  • You are an expert when it comes to Python and Machine Learning with multiple years of professional experience
  • You have hands-on knowledge about MLOps and bringing models to production
  • If you also have experience with knowledge graphs and/or NLP & embeddings, this would be a big plus
  • You constantly challenge our status quo, love to spark innovation and strive to grow with us, as a team
  • You are a strong communicator and have excellent collaboration abilities to effectively work in cross-functional, agile teams

Why Kertos

  • Number one: You get to build our Machine Learning toolchain and software from the ground up, using the newest technologies 
  • Best of both worlds: As this is a research project, you will get both the benefits of research and cutting edge technology as well as startup culture in our Berlin Office
  • You are Kertos: Don’t like something? Could be done better? You have the freedom to push things forward and contribute to making Kertos a great place to work 
  • Unique opportunity: Join the growing team of one of Europe’s most promising early stages companies and to work directly with our CTO and co-founder Alex 
  • Regular Feedback: We foster an open feedback culture and support your growth with regular 1-on-1 meetings 
  • Keep growing: To boost your professional and personal growth, we provide you with a Personal Development Budget of 1.500€ per year
  • Mental Health: We've partnered with Likeminded to prioritize your well-being, offering personalized mental health support for all employees
  • Cutting Edge Technology: Leading VCs have invested in our vision to revolutionize how data protection management and compliance measures are handled sustainably 
  • For Sports Enthusiasts: We subsidize your Wellpass membership for your physical fitness for a better work-life balance 
  • Teamwork Makes the Dream Work: We are a strong team that supports each other, and we also have a lot of fun together beyond work and across different locations 

Sounds like you are the one we’ve been looking for?

​Perfect, let's have a chat! Just send in your ​CV. We are excited to meet you soon. In case you have any questions, feel free to reach out to Lena from our People & Culture team. She's happy to answer all your questions.