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At Marktplaats, data is at the heart of everything we do, but Intelligence is what differentiates us. We are building the ML/AI Platform that powers innovation across our entire Product & Technology landscape. You will join the Data Platform team—the engineering engine behind our Data & Analytics crew. You are stepping into a unique, hybrid ecosystem: we maintain a robust, high-scale traditional ML environment used daily by teams across Marktplaats, while simultaneously acting as the architects for our emerging GenAI capabilities. We are a team that values engineering rigor just as much as experimentation, looking for a leader to help us bridge the gap between stable production services and the bleeding edge of AI. As a Senior Staff Data Engineer – ML & AI Platform, you will be the bridge between infrastructure and Data Science, ensuring that our ML/AI environment is robust, scalable, and developer-friendly. Your mission is to solve the last mile problem of ML: making it easy to move models from a notebook to a high-scale production API. You are an R&D-minded leader who loves to experiment with the latest features (e.g., Databricks Agents, RAG Studio) and operationalize them into stable platform features. You will empower AI/ML Engineers and Data Scientists to be autonomous by building the tooling they need to self-serve.
Job Responsibility:
Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover, validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps
Requirements:
10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems
What we offer:
An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow