Senior AI Engineer

AI in this role

fine-tuningml-ops

Stop building AI that never makes it to production. Build solutions that make a real impact. Most AI jobs stop at fine-tuning models or working on proof-of-concepts. Not this one.

At ML6, you design, build, and deploy AI solutions that are used in production at companies such as ASML, Bolt Energie, and Randstad.

WHAT'S IN IT FOR YOU?

Assume the role of Tech Lead on a project basis

Work end-to-end: from data to production

See your solutions go live in real business environments.

Combine AI, software engineering, and business impact

High degree of ownership and autonomy in your work

Collaborating with smart, driven engineers

THE IMPACT YOU MAKE

You are more than an engineer. You are a Tech Lead, builder, and consultant all in one.

Design and build end-to-end AI solutions

Bring systems from ideation to production

Make decisions about the architecture and ensure scalability

Manage teams of engineers

Translate business challenges into technical solutions

Work with Python, ML frameworks, GenAI and cloud (AWS/GCP/Azure)

Build scalable systems using MLOps and CI/CD

Leverage your technical expertise during client meetings to successfully launch new opportunities.

Time allocation: 70% project work for clients + 30% research, internal (domain) tasks, and more. Please note: ML6 is not an outsourcing company: our people work together with a team of colleagues at the ML6 office on projects where autonomy is highly valued.

WHY YOU?

5+ years of work experience as a software, ML, or AI engineer

Proven experience in delivering end-to-end solutions (in production)

Experience within the GenAI domain (we are currently recruiting for this domain)

Experience with cloud platforms (AWS, GCP, or Azure)

Experience leading projects or small technical teams

Strong communication skills (technical and non-technical) in English and Dutch

Familiar with MLOps principles and a passion for building robust, scalable systems

WHY CHOOSE ML6?

Talk less, do more. Push the boundaries of AI.

Driving seat: Whether you want to become a Principal Engineer or Squad Lead, or join the Office of the CTO: we shape the trajectory together and offer the support to accelerate your career.

Take ownership from day one: We want you to act like a shareholder, so we make you one. We offer stock options so that you truly share in our collective success.

Value-driven innovation: Our work is guided by a promise of Do Good and Excellence in Delivery . You will work on challenging, diverse projects where your passion for technology creates real impact.

Transparent compensation: We offer an attractive, optimized package (salary scale for senior roles typically ranges between €80k – €100k gross/year + additional benefits and bonuses). Your salary depends on your expertise and impact. This expertise is translated into a level and scope group within our Salary House and is evaluated during the application process. View our Reward Philosophy to read more about this.

How we score this

Senior AI Engineer at ML6 scores 91 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningMl Ops

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Fine Tuning and Ml Ops. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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