Lead Machine Learning Engineer (AI)

Location: Amsterdam, Netherlands; hybrid

Salary: €100,000–€120,000 gross yearly, including holiday allowance

Company

hirify.global operates a digital B2B auction platform for used industrial equipment across 9 brands and 175 countries, using AI, automation, and intelligent auctioning technology to support the circular economy.

What you will do

• Own the end-to-end architecture of reusable ML and AI systems, including data pipelines, feature and model stores, training and serving infrastructure, and MLOps capabilities.
• Design and orchestrate an AI agents platform with evaluation, monitoring, and production guardrails.
• Build recommendation, search, ranking, retrieval, embedding, vector search, and real-time personalization systems at scale.
• Deploy models as robust APIs and scalable, containerized microservices using Kubernetes, and improve CI/CD, experiment tracking, training, validation, and monitoring.
• Set the ML and AI roadmap, frame business problems as ML tasks, define metrics, and run A/B tests and rigorous experiments.
• Lead, mentor, hire, and develop ML engineers while collaborating with product managers, tech leads, and business stakeholders.

Requirements

• 7+ years of ML engineering experience, including 2 years leading the technical direction of teams. Formal people management is beneficial.
• Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Experience with recommender systems at scale, including retrieval and candidate generation, ranking models, and real-time personalization in high-load production environments.
• Track record of building and operating production ML and AI systems across feature engineering, model development, deployment, and monitoring.
• Strong systems architecture and MLOps experience with distributed, event-driven ML systems, API and model serving as microservices, containerization, Kubernetes or AKS, CI/CD, and experiment tracking.
• Strong knowledge of metric design, A/B testing, causal inference, and statistics for measuring business impact.
• Expertise in Python and PySpark, plus ML algorithms and frameworks including MLlib, Scikit-learn, TensorFlow or PyTorch, and MLflow.
• Experience building AI agents and LLM-based products in production, including memory, context engineering, retrieval, orchestration, and multimodal retrieval systems or architecture.
• Ability to remain hands-on with code and architecture while leading, and to explain technical choices and trade-offs to non-technical stakeholders.

Nice to have

• Familiarity with Java or Kotlin.
• Formal people management experience.

Culture & Benefits

• Hands-on leadership role with significant ownership in an entrepreneurial and innovative organization.
• Modern data stack including FastAPI, Databricks, Airflow, and DBT, with Azure and Kubernetes-based deployment through AKS.
• Bonus scheme, pension scheme, and 25 vacation days.
• Laptop, iPhone, and training opportunities.
• Professional team environment combining hard work with humor.

Hiring process

• Apply through the application button.