Your challenge

Exciting developments are happening, offering opportunities for businesses to innovate and gain a competitive edge. Now is the time to join us and leverage those AI/ML skills to a next level while working on the most innovative projects for the biggest clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing sensors for quality control. You can find it all at ML6.

If you consider yourself a machine learning expert who can not only develop and validate performant models, but also has what it takes to take these models all the way to a deployment to thousands or millions of users, ML6 can provide you with a number of challenging use cases to sink your teeth into.

You will mostly work with Python to solve varied Machine Learning tasks, using various frameworks such as Tensorflow, Pytorch, or HuggingFace and to help put these applications into production on the cloud in order to generate business value for our clients. You make applications that are carefully architected, scalable and robust through your combined skills in engineering and machine learning. ML6 delivers projects on all major cloud providers (GCP, AWS, Azure).

As a senior, you take up a tech lead role on a per-project basis, and lead your more junior colleagues in both the technical and client-facing aspects of a project. Internally, you take a leading role in driving forward the company’s technical capabilities and client offerings.

Briefly explained, you: 

  • Are a born consultant that understand customer business needs and translate them into end-to-end technical solutions
  • Use Python to deploy production ready pipelines and ML models on the Cloud
  • Explore state-of-the art ML research and drive internal evaluation and adoption of cutting edge tools and frameworks
  • Are responsible for the high-quality delivery of your team’s projects
  • Technically guide junior engineers
  • Deliver technical workshops for clients
  • Leverage your expertise to help sales qualify and land exciting projects

Who are you?

  • Excellent written and verbal communication skills in English (Dutch/German are a plus)
  • Work experience in software development
  • 3+ years of work experience with Machine Learning 
  • Proficient in Python & software development best practices
  • Degree in computer science or related field
  • A coaching & knowledge sharing mindset
  • Ability to provide expert advice to non-technical staff and clients
  • Experience with deploying ML models to a large user base
  • Worked on one of the major Cloud providers (AWS, Azure, GCP)

Considered as a plus:

  • Familiarity with MLOps way of working
  • Took a leading technical role in a team structure
  • Experience in one of our focus domains: GenAI, Bio, Ops, Energy or Digital Twins

Why ML6?

Looking for a dynamic environment where you can create real business impact with AI? Look no further. Don’t expect a big corporate organisation with pre-defined jobroles and plans for the coming years. Expect the unexpected. Growth, change and impact. Expect to work for the most innovative and biggest companies across countries. Expect exponential personal growth in your career.

We aim to be a frontrunner in pay equality/equity. We have a bold vision on fairness, transparency and are impact driven in our way of rewarding. We believe that people should be paid based on their impact they make for the company and not their gender, background or negotiation skills. We provide attractive salary packages for your expertise and an optimised benefits program where we stay true to our caring and learning goals. In a nutshell, we've built a place where we truly love working, we think you will too.

Scroll down to find out more about why others choose ML6! 👇
Note that we are looking for multiple talents for this role over the year to accelerate their career with us.

Location

Berlin, Germany

Job Overview
Job Posted:
1 month ago
Job Expires:
Job Type
Full Time

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