Machine Learning Engineer

Medior Machine Learning Engineer (Medior Data Scientist)

Every day, we connect people and businesses through seamless parcel delivery. At PostNL, we aim to be everyone's favorite deliverer and data science plays a crucial role in making every delivery moment fast, effective and joyful.

This Is why you choose:

• Visible work: You realize the mission and strategy of PostNL with data science solutions that are widely used and appreciated by colleagues within E-commerce.
• Challenge: You will join a team that is growing in maturity and tackling more complex issues for E-commerce.
• Great atmosphere: Collaboration, tackling challenges, and having fun at work are key elements of the positive atmosphere in this team.
• Freedom: You have the flexibility to work partly from home and partly at a flexible workspace in our vibrant and state-of-the-art office in the historic Stationspostgebouw, next to Holland Spoor station.
• Responsibility: You have the freedom to largely shape your role and working hours.
• Development opportunities: There are plenty of opportunities to take courses and grow into other roles or departments within the company.

This Is your role

We are looking for a hands-on Medior Machine Learning Engineer to join our Data Science E-commerce team. You will not only develop impactful artificial intelligence and machine learning (AI/ML) models, but also ensure their robustness in production by contributing to pipeline automation, lifecycle management, and performance monitoring following MLOps best practices.

In this role, you'll directly impact our mission to become everyone’s favorite deliverer. You'll play a key role in enabling data-driven decision-making across the E-commerce department contributing directly to our strategic priorities while working closely with data scientists in the team. If you like a challenge, enjoy thinking outside the box, and have a passion for the latest technologies in machine learning and engineering, we want to hear from you.

You will thrive at PostNL if you are result-focused and innovative in providing business value through developing and deploying machine learning solutions, but most of all having a strong understanding of all parts of the machine learning lifecycle.

Your Colleagues 

You'll be joining a dynamic and innovative Data Science E-commerce team that thrives on collaboration and shared goals. Our team consists of fantastic data scientists who are not only experts in their fields but also eager to support and learn from one another. We believe in the power of teamwork and foster a culture where your ideas are valued, and your contributions can make a tangible impact on our company strategy. You'll have the opportunity to work alongside people who are as dedicated to advancing data science solutions as they are to building a supportive and inclusive environment. Together, we push the boundaries of what's possible, ensuring that every delivery moment we create brings happiness.

This Is what we deliver to you

A role full of innovation, and work that you literally see on every street in the Netherlands. At PostNL, we aim to grow into the logistics e-commerce platform of the future, so that we can deliver special moments even smarter, faster, and better. Your mentality and our challenge come together here. In return, you can count on an attractive benefits package. The top benefits of your position are:

• A salary between €4.521,00 and €6.402,00 gross per month (scale 11) based on a 37-hour workweek
• The possibility to work hybrid with flexible working hours. Do you work two or more days a week from home? Then you will receive a €45 net compensation per month
• 8% holiday allowance and 25 vacation days based on a full-time employment
• Travel allowance for commuting
• A good pension plan through the PostNL Pension Fund
• Training and development opportunities through the PostNL Academy
• Discounts on holidays, events, and products

This Is what you bring

In this role you will bring hands-on machine learning experience and a proven track record of building and delivering end-to-end machine learning solutions. Additionally, you recognize yourself in this:

• Strong understanding of machine learning algorithms, model evaluation, and metric design
• Experience working with large datasets using SQL, PySpark or Polars
• Strong Python programming skills and experience with modular code design
• Experience with containerizing and deploying ML workloads (e.g., Docker, SageMaker, Airflow, Metaflow, Kedro)
• Experience building and maintaining CI/CD pipelines for ML
• Experience with cloud platforms such as AWS and Databricks

Some final mail

• Don’t meet every single requirement? Studies show that people often hesitate to apply unless they meet all the criteria. At PostNL, we value potential and enthusiasm just as much. If this role excites you we want to hear from you!
• Because PostNL believes in equal opportunity, candidates take an assessment designed to evaluate their competencies and skills relevant to the position prior to the first interview.

Interviews

• Due to holidays the first interviews will be from August 6th onwards

If you have any questions please feel free to contact Micky Dendias, Tech Recruiter, via micky.dendias@postnl.nl