Marktplaats in The Netherlands, and 2dehands and 2ememain in Belgium, are part of Adevinta: a global online classifieds specialist. The three brands are hosted on a multi-tenant platform, operated from our Amsterdam location, and are the top players in the classifieds space throughout the Benelux region.
We offer consumers the opportunity to trade their unwanted products and contribute to a greener, circular economy. We offer businesses - of all sizes, from the smallest hobbyist to the biggest brands in Benelux - a platform to showcase their goods and services online to over 11 million monthly unique users.
What you’ll do & Who you areAt 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.
Key ResponsibilitiesPlatform Leadership: Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases.
Operationalize Innovation: Act as a "first mover." When Databricks releases a new feature (e.g., Liquid Clustering, Agent Evaluation), you validate it and integrate it into the platform.
GenAI Governance: Write the guidelines for GenAI development, helping teams transition from "notebook experiments" to production-grade LLM applications.
Enablement: Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows.
Mentorship: Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions.
Translation: Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps.
Databricks AI Stack: MLflow, Mosaic AI, Unity Catalog, Feature Store, Databricks Model Serving, Vector Databases.
Big Data & Compute: Apache Spark (Internals & Optimization), AWS (GPU instances, EC2).
GenAI & Agents: Databricks Agent tools.
Languages: Python (Expert level), PyTorch.
Infrastructure as Code: Terraform, Terragrunt.
Containerization: Docker, Kubernetes.
CI/CD: GitHub Actions.
Observability: Datadog.
Experience: 10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure.
Spark Mastery: You don't just run jobs; you optimize them. You possess deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing.
MLOps Authority: Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts.
DevOps Mindset: You treat infrastructure as software. You have a strong background in building automated pipelines and ensuring system observability.
GenAI Readiness: Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools.
Serving Expertise: Solid experience serving models at low latency and high concurrency using containerized solutions.
Collaborative Spirit: You speak the language of AI/ML Engineers and can effectively bridge the gap between "experimental code" and "production systems."
Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits:
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! Maybe not from the moon🌛well why not! just make sure you have internet connection! 🌍
A 24/7 Employee Assistance Program for you and your family, because we care ❤️
Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow 🌱
On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! ✨
Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.
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