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AI Engineer

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Next-Link
Full Time position
Listed on 2026-02-23
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 EUR Yearly EUR 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Amsterdam, Netherlands | Posted on 02/01/2026

We are looking for a skilled AI Engineer to design, build, and deploy scalable AI and machine learning solutions. The ideal candidate will have strong hands-on experience in developing production-ready AI models and working closely with engineering and business teams to deliver impactful AI-driven solutions.

Requirements Must-Have Skills & Experience
Core AI & Machine Learning Skills

Strong experience as an AI Engineer working on real-world use cases

Solid understanding of machine learning, deep learning, and AI algorithms

Hands-on experience with Python and AI/ML libraries such as Tensor Flow, PyTorch, Scikit-learn

Experience building, training, validating, and deploying ML models

Strong knowledge of data preprocessing, feature engineering, and model evaluation

Experience working with structured and unstructured data

Familiarity with databases (SQL / No

SQL) and data pipelines

Experience deploying AI/ML models into production environments

Understanding of MLOps practices
, model monitoring, and versioning

Exposure to Docker, Kubernetes, or cloud platforms (AWS, Azure, or GCP) is a plus

Software Engineering

Strong coding and debugging skills

Understanding of APIs, microservices, and system integration

Ability to write clean, maintainable, and scalable code

Key Responsibilities

Design, develop, and deploy AI/ML models for business use cases

Collaborate with data scientists, software engineers, and stakeholders

Optimize models for performance, scalability, and reliability

Build end-to-end AI pipelines from data ingestion to inference

Ensure AI solutions follow best practices for security, performance, and maintainability

Monitor model performance and retrain models as required

Document solutions and contribute to technical knowledge sharing

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