AI Software Engineer (Python)

TL;DR

AI Software Engineer (Python): Designing, developing, and deploying machine learning models for personalization engines, automation systems, and intelligent product features, translating research and prototypes into scalable systems with an accent on reproducible ML pipelines, monitoring capabilities, performance, reliability, and responsible design. Focus on integrating AI-driven features into production, iterating and improving models from experimentation to deployment, and explaining technical decisions to clients and internal teams to shape product roadmaps.

Location: hirify.global Alkmaar, Netherlands. Candidates must currently reside in the Netherlands and possess the necessary VISA/work permit.

Company

hirify.global is a digital transformation architect, building products and experiences for ambitious clients.

What you will do

• Design, develop, and deploy machine learning models for personalization, automation, and intelligent product features.
• Collaborate with product designers, backend developers, and data scientists to bring AI-driven features into production.
• Take ownership of models from experimentation and training to deployment, monitoring, iteration, and improvement.
• Translate research and prototypes into scalable, production-ready systems for web, mobile, and edge platforms.
• Stay plugged into the evolving AI ecosystem, experimenting with NLP, computer vision, and reinforcement learning.
• Support cross-team collaboration, set up reproducible, scalable ML pipelines, and implement monitoring capabilities.

Requirements

• Solid academic or professional background in Computer Science, Data Science, Machine Learning, or a related technical field.
• Five or more years of experience building and deploying machine learning models in production environments.
• Strong skills in Python and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms such as AWS, Azure, or GCP for deploying models via APIs and managing infrastructure.
• Solid understanding of statistics, data modeling, and algorithm design.
• Strong communication skills, with the ability to explain complex concepts to diverse audiences.
• Fluency in English.

Culture & Benefits

• Join a team that embraces new ideas and innovative approaches to solve complex problems.
• Be part of a tight-knit Data & AI team of engineers, analysts, and scientists.
• Work in an environment that values curiosity, collaboration, and continuous learning.
• Focus on building usable, maintainable AI solutions that work in the real world.
• Opportunity to explore innovations, mentor others, share knowledge, and learn from peers.