Your challenge

We guide the AI revolution towards positive impact.
Exciting developments are happening in the world of AI, offering unprecedented opportunities for businesses to innovate and gain a competitive edge. Now more than ever is the time to create intelligence with lasting positive impact. We design tailor-made AI solutions for our clients across industries such as ASML, Randstad, VRT, GfK, and many more. Therefore we are looking for exceptional ML Engineers to join our fast growing team and accelerate businesses with intelligent technology.

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) and is a Premier Google Cloud Service Partner.

As a senior, you take up the 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: 

• 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 ML engineers
• Deliver technical workshops for clients

Who are you?

• Excellent written and verbal communication skills in English
• Work experience in software development
• 3+ years of work/practical experience with Machine Learning 
• Proficient in Python & software development best practices
• Degree or PhD in computer science or related field
• A coaching & knowledge sharing mindset
• Ability to provide expert advice to non-technical staff and clients
  
  Considered as a plus:
• Experience with deploying ML models to a large user base
• Familiarity with MLOps way of working
• Worked on one of the major Cloud providers (AWS, Azure, GCP)
• Took a leading technical role in a team structure
• Experience in one of our focus domains: GenAI NLP, Vision, Bio, Ops, Energy or Digital Twins.

 Note: As our culture is centered around interpersonal connections, working fully remote is not an option at ML6 at this time

Why ML6?

We offer:

• A fast growing & international environment where we actively work on building a culture that believes in passion for technology, excellence in delivery, doing rather than talking, bringing out the best in others, taking ownership & doing good
  
• Growth: we are excited to hear about your ideas, passion & interests, and look forward to accelerate your career together
  
• Knowledge building & sharing: every quarter we organise a chapter conference where we share our knowledge & get inspired. Next to that we participate in tech- events & have a lot of internal knowledge sharing tools.
  
• We care about our agents: we provide a healthy work environment with a focus on well-being, connectivity, feedback, and open communication
• Ethics & responsibility: we take our responsibility to build secure, reliable and sustainable technology seriously and integrate ethics within our way of working
• An organisation that’s filled with team activities, sports, ping pong & LAN parties, healthy snacks and many more in our vibrant offices
• A competitive salary for your expertise & an optimised benefits program with all these goals in mind. In a nutshell, we've built a place where we truly love working, we think you will too.