Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing, building, and deploying generative AI models to transform business landscapes for clients with an accent on translating complex datasets into actionable insights and integrating AI solutions into product suites. Focus on enhancing performance and scalability of machine learning systems, optimizing for efficiency and reliability, and innovating on best practices in machine learning.

Location: Hybrid Working in Rotterdam, Netherlands. Only candidates based in the Netherlands with a valid visa permit will be considered.

Company

hirify.global is a digital agency with nine offices globally, partnering with leading technology providers to accelerate growth for ambitious businesses by leveraging technology, data, and creativity.

What you will do

• Develop cutting-edge machine learning models and algorithms.
• Translate complex datasets into actionable insights for clients.
• Collaborate with interdisciplinary teams to seamlessly integrate AI solutions into product suites.
• Enhance the performance and scalability of machine learning systems.
• Innovate and iterate on best practices in machine learning.

Requirements

• Medior Machine Learning Engineer with 2-4 years of experience in data analysis and model development.
• Bachelor's or Master's in Computer Science, AI, or a related technical field.
• Experience in bringing AI projects into production.
• Proficiency in Python and familiarity with data manipulation libraries (e.g., NumPy, Pandas).
• Experience with at least one genAI framework (e.g., LangChain) or image generation models (e.g., ControlNet).
• Familiarity with cloud AI suites (AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
• Must be based in the Netherlands with a valid visa permit.

Nice to have

• Knowledge of Retrieval-Augmented Generation (RAG) techniques.
• Experience with Java or C++.
• Ability to work collaboratively in interdisciplinary teams.

Culture & Benefits

• "Great Place to Work" certified environment focused on personal and career development.
• Agile Way of Working with flexible working hours.
• Hybrid Working model.
• Pension Scheme, Travel Reimbursement, and Company Equipment.
• Office Food and Drinks.
• Study Budget, Study Days, hirify.global Academy, and hirify.global Expedition for continuous learning.
• Loyalty Days, Gym Membership, Bike Plan, and Parental Leave.