AI Engineer

Foxtek

Amsterdam

Hybrid

EUR 90,000 - 130,000

Full time

14 days+

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Job summary

Join Foxtek as an AI & ML Engineer and shape the future of AI-driven solutions. You'll design and implement cutting-edge machine learning models, develop scalable AI solutions, and work with large datasets. This role offers a hybrid working environment and fantastic career growth opportunities in a booming industry.

Qualifications

3+ years of experience in AI & ML Engineering.
Proven ability to develop and deploy ML models at scale.
Professional proficiency in Dutch (native not required).

Responsibilities

Designing and implementing machine learning models and AI algorithms.
Developing scalable, production-ready AI/ML solutions.
Optimizing model performance, deployment, and monitoring.

Skills

Python

Machine Learning

AI Algorithms

Data Pipelines

MLOps

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

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Direct message the job poster from Foxtek

Are you an AI & ML Engineer who thrives on building intelligent systems and developing cutting-edge machine learning models?

This is your chance to join an innovative organization where your expertise will shape the future of AI-driven solutions! You’ll have the freedom to experiment, deploy, and optimize models while working alongside top-tier engineers and business leaders.

What You’ll Be Doing:

Designing and implementing machine learning models and AI algorithms.
Developing scalable, production-ready AI/ML solutions.
Working with large datasets to build predictive analytics and automation.
Optimizing model performance, deployment, and monitoring in real-world applications.

3+ years of experience in AI & ML Engineering

Strong proficiency in Python

Strong proficiency in frameworks like TensorFlow, PyTorch, or Scikit-learn

Experience with data pipelines and MLOps

Cloud platforms (AWS, Azure, or GCP)

Proven ability to develop and deploy ML models at scale

Professional proficiency in Dutch (native not required)

Bonus Skills:

Knowledge of NLP, Computer Vision, or Generative AI.
Experience with Big Data technologies (Spark, Hadoop, or Kafka).

Flexible working: Hybrid setup – 2 days in-office, the rest remote!

Fantastic opportunities for career growth in a booming industry.

Work on high-impact AI projects with real-world applications.

Don’t miss this opportunity! Apply now to be at the forefront of AI & ML innovation.

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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