Tech Lead AI/ML

Foxtek

Amsterdam

Hybrid

EUR 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
26 vacation days
Hybrid flexibility
Dynamic international team
Room to grow and experiment

Job summary

A leading tech company in Amsterdam is seeking a Tech Lead AI/ML to drive innovation in intelligent workplace solutions. As a founding member of the AI team, you will lead the development of AI features, mentor engineers, and collaborate with product teams to create impactful solutions. This role offers competitive salary, hybrid work flexibility, and opportunities for professional growth.

Qualifications

  • 5+ years of experience in AI/ML engineering.
  • Hands-on experience with LLMs and model integration.
  • Strong software engineering foundations.

Responsibilities

  • Own the technical direction for AI and lead development of AI features.
  • Establish and refine MLOps pipelines and best practices.
  • Mentor engineers transitioning into AI/ML.

Skills

Python
AI/ML Libraries
Communication
Collaboration

Education

MSc in Computer Science, AI, Machine Learning

Tools

AWS
Amazon SageMaker

Job description

Foxtek Amsterdam, North Holland, Netherlands

Tech Lead AI/ML

Foxtek Amsterdam, North Holland, Netherlands

Direct message the job poster from Foxtek

Are you a AI/ML Engineer ready to shape the future of intelligent workplace solutions?

This is your opportunity to join a fast-growing, product-driven tech company making a real impact in how organizations connect and collaborate! As the founding member of a dedicated AI team,

you’ll drive innovation, lead experimentation, and build intelligent features at scale—while mentoring engineers and working alongside inspiring leaders.

What You’ll Be Doing:

  • Owning the technical direction for AI and leading end-to-end development and delivery of AI features—from rapid prototyping to production deployment and monitoring.
  • Working hands-on with large foundation models (e.g., GPT, Claude, DeepSeek), handling everything from prompt engineering and fine-tuning to seamless integration (e.g., via Amazon Bedrock).
  • Identifying opportunities for, and potentially leading the development of, custom models where off-the-shelf solutions don’t fit.
  • Establishing and refining MLOps pipelines and best practices using tools like Amazon SageMaker and other AWS services.
  • Collaborating closely with product managers and engineers to turn ideas into high-impact, user-facing features.
  • Actively mentoring and upskilling engineers transitioning into AI/ML, fostering a collaborative, learning-focused team culture.
  • Contributing to a strong, scalable engineering foundation in close partnership with leadership focused on operational excellence and high-performance delivery.

5+ years of experience in AI/ML engineering, with a proven track record of shipping production-ready features (ideally in SaaS)

MSc in Computer Science, AI, Machine Learning, or related field

Hands-on experience with LLMs, prompt design, and model integration (e.g., via Amazon Bedrock)

Strong Python skills and familiarity with AI/ML libraries (PyTorch/TensorFlow, Hugging Face, scikit-learn, Pandas, NLP libraries)

Solid software engineering foundations: APIs, testing, CI/CD, version control (Git), etc.

Experience with AWS, especially Amazon SageMaker for training, deployment, and MLOps

Excellent communication and collaboration skills, especially in cross-functional teams

Bonus Skills:

  • Experience mentoring or training engineers in AI/ML practices
  • Background applying AI/ML in human-centric domains (HR Tech, Employee Experience, Customer Experience)
  • Familiarity with agile product teams and rapid iteration cycles

Why Join Us?

  • Be the first to shape AI at a company where your work has real-world impact
  • Work closely with leadership committed to team performance and scalable execution
  • Competitive salary, 26 vacation days, hybrid flexibility (Amsterdam-based, 2 days in-office, rest remote), and a dynamic international team
  • Room to grow, experiment, and define how we use AI to transform the employee experience

Don’t miss this chance to lead the next wave of AI innovation. Apply now to make your mark at the forefront of intelligent workplace solutions!

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting

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