MLOps Engineer (AI)

TL;DR

MLOps Engineer (AI/ML): Help data-driven teams build production-ready, scalable machine learning systems with an accent on productionizing models, automated ML pipelines, and ML experimentation infrastructure. Focus on deploying, maintaining, and optimizing end-to-end ML systems for scalability, usability, and performance.

Location: Netherlands (Noord-Holland, Randstad area), clients like ING, ASML; Fridays at Amsterdam office or remote; flexibility working from home & office

Company

Xccelerated, an initiative within hirify.global Group, accelerates growth of Data, Cloud & AI competence through 13-month advanced training programs combined with client projects.

What you will do

• Build and productionize scalable machine learning systems and models for clients like Lely, ING, ASML, KLM
• Develop and improve automated ML pipelines, experimentation infrastructure, data pipelines, and cloud architectures
• Work on data science & ML projects including predictive solutions, fraud detection, and big data tools
• Participate in 2-week bootcamp on deployable code, containerization, MLOps, cloud fundamentals
• Join weekly technical trainings and innovation days at Amsterdam office

Requirements

• Technical bachelor’s or master’s degree (e.g., Data Science, Econometrics, Artificial Intelligence)
• 2-4 years work experience as ML Engineer or Data Scientist
• Statistical knowledge with experience in end-to-end systems: running, deploying, monitoring
• Knowledge of open-source technologies like Spark, Kafka, Airflow, Kubernetes
• Customer-focused with strong can-do mentality, results-oriented, eager to learn

Nice to have

• Experience with big data tools and programming frameworks for scalable AI applications

Culture & Benefits

• 25 vacation days
• 2 full-time weeks bootcamp + weekly technical trainings & innovation days for a full year
• Challenging client assignments at top companies like Heineken, Rabobank, FedEx
• MacBook, iPhone, lunches, coffee, snack bar
• Flexibility in working from home & office
• Opportunity to join partner organization directly after first year

Hiring process

• First interview with recruitment consultant
• Technical assessment from home, presented to Tech Lead (remote)
• Process completed within 1-3 weeks depending on availability