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Over de functie

As an MLOps Engineer, you develop the AI and MLOps platform that enables our data scientists to bring models to production faster, smarter and more reliably.

Verantwoordelijkheden

Visible work: You help build our Data Science & AI platform that many of our data scientists and AI engineers use every day. You work on project provisioning, create standard project templates and support the development of agent?'based and AI use cases. This gives your work direct impact on projects in logistics, sorting, customer contact and planning.

Challenge: You work in a dynamic environment where you help shape our new Databricks platform while also supporting our existing AWS solutions. You coordinate the migration, guide teams through the transition and define standards for MLflow, LLMOps and broader MLOps practices. You also explore new Databricks features such as Databricks Apps, Agent Bricks and agent development. This gives you room to experiment, learn and contribute to the future of our AI platform.

Good atmosphere: You work with colleagues who are eager to improve, help each other and enjoy trying new things. You can bring your ideas, learn from others and grow in a supportive team.

Flexibility: You work hybrid: partly from home and partly from our modern office in the historic Stationspostgebouw next to The Hague Hollands Spoor. This gives you freedom to organise your week in a way that works for you.

Responsibility: You get real ownership. You help shape how we build and use our AI platform and how our growing AI community works with data, models and agent?'based technologies.

Development opportunities: You keep developing yourself through the PostNL Academy, by learning from colleagues and by working with modern tools such as Databricks, MLflow, LLMOps, agent?'based development and AI coding tools that support data scientists in writing better and faster code.

Wat ga je doen

As an MLOps Engineer, you help build and run our central Data Science & AI platform. You work on project provisioning flows, Python packages and integrations with Databricks. You create clear, reusable project templates for data science workloads, AI models and agent?'based solutions. These templates help teams start quickly and work in a consistent way.

You play an important role in the migration from AWS?'based solutions to Databricks. You define standards for this migration, support data scientists in their transition and help test, deploy and improve their workloads. You work closely with teams to train them in MLflow, LLMOps and our broader MLOps practices. You also explore how AI coding skills and coding assistants can help our data scientists work faster, cleaner and more reliably.

Wat vragen wij

You enjoy working with others and like turning complex topics into clear and simple solutions. You take initiative, think ahead and help your colleagues move forward. You communicate easily with people who have different levels of technical knowledge. You are curious, open to feedback and eager to learn, because of the rapidly changing field of AI and MLOps.

You also recognise yourself in the following:

• You have a bachelor's or master's degree in Computer Science, Data Science, AI or a similar field.
• You have experience with MLOps principles, such as model development, testing, deployment and monitoring.
• You are skilled in Python and version control.
• Preferably, you have AWS CDK and typescript experience.
• You have experience with CI/CD tools, such as GitHub Actions or a similar setup.
• You have worked with a cloud platform, such as AWS and/or Databricks.

Wat bieden wij

A role full of innovation and work that you see reflected throughout the Netherlands. You help shape the logistics e?'commerce platform of the future.

You can count on a strong package of employment benefits.

• Salary between €4,588.87 and €6,498.75 gross per month based on 37 hours (32 hours is also possible).
• Hybrid working and flexibility in organising your time. If you work from home two or more days a week, you receive a €45 net monthly allowance.
• 8% holiday allowance and 25 vacation days based on full?'time employment.
• Commuting reimbursement through NS Business Card or kilometre allowance.
• A good pension scheme through the PostNL pension fund.
• Laptop (Mac or Windows) and smartphone.
• Training and development options via the PostNL Academy.
• Discounts on travel, events and products.

Meer informatie

• We do a background check on all applicants. As part of the check, we ask that applicants submit a certificate of good conduct. We also check references and possibly conduct a special investigation.
• Because PostNL believes in equal opportunities, candidates take an assessment designed to evaluate their competences and skills relevant to the position. We recruit our own co-workers as we try to build the PostNL of the future.
• Post from recruitment agencies will be returned to sender.