MLOPS/Data Engineer

MLOPS/Data engineer at ASML

Are you an experienced MLOPS/Data engineer with a strong foundation in software development? Then this MLOPS position at ASML might be something for you!

In this role, you will be working in the Data Hub of ASML, one of the leading companies in the global tech industry. With a team of like-minded professionals, you will be building innovative MLOPS solutions while not settling for ‘good’ but only for ‘great!

About ASML

At ASML they like to make the impossible possible. Their lithography technology – which uses light to print tiny patterns on silicon – is fundamental to mass producing semiconductor chips. With it, the world’s top chipmakers are creating better performing, cheaper chips.

Together with Xccelerated, an initiative within the Xebia Group with focus on the growth of Data, Cloud & AI competences, we are enabling talented people to become an authority in their field.

In collaboration with ASML we are working with the Data Hub team, in specific the predictive maintenance team, where the amount of data is growing rapidly. This maintenance team consists of two talented teams of Data engineers, MLOPS engineers and data scientist. They work every day on innovative data and software challenges and for this team we are searching for the brightest minds on the planet to help us achieve their mission.

About the role

You will join the Predictive Maintenance team as a MLOPS/Data engineer, and they need you to bring it to the next level.

You will join the Innovation Hub team for Metrology and Machine Control (MX). This innovation hub consists of four newly formed teams, and they need you to bring it to the next level and bring their Cloud and Software strategy to life.

As a MLOPS/Data engineer at ASML, you will:

• Develop, test and deploy scalable and re-usable data engineering pipelines in GCP;
• Deploy ML models in collaboration with Data scientists and supporting them by converting algorithms and models into production solutions;
• Work with containerization technologies like Kubernetes, Kubeflow and Docker;
• Create and maintain CI/CD pipelines in GCP; Take charge of the realization of the MLOps strategy of the department;
• Challenge the organization to maintain a healthy balance between state-of-the-art technology, performance, and stability.

This is you

From a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. You communicate clearly with Data scientist, ML and Data engineers.

Next to this, you have:

• A Technical Education background and some years of experience in the ML & Data engineer field;
• Experience in software development and strong coding skills in Python and Pyspark;
• Experience in creating pipelines (ETL, Kubeflow, Airflow) and deploying them;
• Experience with a cloud stack.

What we offer

Besides working at one of the world’s most innovative companies within the tech industry, we offer you:

• 💰 A competitive salary;
• 🛫 25 vacation days;
• 📊 Technical trainings & Innovation days (every week depended on your needs);
• 💻 Company laptop;
• 🍎 Lunches, amazing coffee and snack bar;
• 🎒 Flexibility in working from home & at the office in Veldhoven.

The skills I learned at Xccelerated are incredibly valuable—I use them everyday at work. After the bootcamp, I had the feeling that I wanted to rewrite all my previous projects.
Nikki Doorhof, data scientist, Xccelerated/Nationale Nederlanden

Xccelerated decreases the gap between software engineering and data science. Thanks to this, I’m solving real data engineering challenges.
Selin Gungor, data engineer, Xccelerated/ING

I’m impressed by the guidance I get from the many experts I’m surrounded with at Xccelerated. It helps me become an expert myself as well at Heineken.
Aldy Syahdeini, cloud developer, Xccelerated/Heineken

Why work at Xccelerated?

Advanced Data & AI training programs

Take the next step in your career. Our programs for professionals with proven potential ensure growth in your ML & AI career, by working & learning continuously.

Challenging data-driven projects

Apply your knowledge on the most exciting data-driven projects and make real impact. Work with other highly skilled people at one of our partner companies & your future employer.

Like-minded professionals

Work in an international environment with like-minded professionals who are on the same page: learning, making impact, sharing knowledge and having fun.