Machine Learning Engineer
Uitdagingen
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.
Je verantwoordelijkheden
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.
Wat breng jij mee?
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
Wat bezorgen we jou?
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
We schrijven zelden, maar alleen de beste inhoud.
