Machine Learning Engineer - MLOps

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Machine Learning Engineer to join MLOps team

Adyen is seeking a Machine Learning Engineer to join our central MLOps team, which is responsible for building platforms and tools for all of our data science teams. In this role, you will play a crucial part in shaping the MLOps ecosystem at Adyen, serving a variety of machine learning and statistical models for both real-time and batch predictions — from optimizing payments to combating fraud.

What you'll will be doing:

  • Own, develop, deploy and operate tooling and services around MLOps:
  • Performant model training and tracking.
  • Safe, stable and performant machine learning model deployment in both real-time and batch flows, considering latency, reliability and scalability.
  • Experiment tracking, validation and hyperparameter optimization runs
  • Model monitoring for downtime, latency, and drifts.
  • Ensuring scalability of the MLOps infrastructure and bringing MLOps maturity to the next level
  • Building tools to democratize machine learning practices at Adyen. Work closely with product machine learning teams to identify their pain-points, way of working. 

Who you are

  • 4+ years of professional experience as a DevOps Engineer, MLOps Engineer, ML Engineer, Data Engineer 
  • You have strong software development skills, including: version control (e.g. Git and preferable on Gitlab), coding best practices, debugging, unit and integration testing.
  • You have experience with the full machine learning model lifecycle in production flows.
  • You have great knowledge of MLOps architectures and practices.
  • You are very proficient in python
  • You have a very good understanding of software engineering practices
  • You have a good understanding of machine learning algorithms, and specifically dependencies on engineering and their lifecycle.
  • You have the ability to diagnose and resolve model performance, scalability, and deployment issues.
  • You have strong familiarity with the standard data science toolkit, such as (py)spark, MLFlow or similar MLOps frameworks, Airflow
  • You have an experimental mindset with a launch fast and iterate mentality.
  • Team player with strong communication skills, and are able to convey complex outcomes to a wide range of audiences.
  • You are adept at collaborating with cross-functional teams and driving best practices.

Desirable additional qualifications:

  • Proficiency with observability tools, such as: Prometheus, Logsearch, Kibana and Grafana.
  • Experience in platform engineering and k8s, argoCD, helm is a plus
  • Knowledge of kafka or any other streaming framework is a plus
  • Knowledge of front end and/or java is a plus
  • Experience in working with feature store is a plus
  • Experience with setting up and managing GPUs for Accelerated Deep Learning is a bonus

Data positions at Adyen

We know companies handle different definitions for their data-related positions; this is, for instance, dependent on the size of a company. Since the birth of the Data Solution and the growth of all data streams, we categorized and defined all our positions. Have a look at this blogpost to find out!

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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The information you provide when you fill out this form and which we collect during your application process will be held and used by Adyen primarily for the purposes of considering your application and your suitability for employment with us and will generally be kept for one year, unless we need to keep your data longer. You can find more information about how we handle your personal data and about your rights in our Applicant Privacy Notice.


Demographic Survey - NL

Disclaimer: We invite you to complete this optional survey to help us evaluate our diversity and inclusion efforts. The data collected will help us create a workplace where diversity and inclusion is celebrated by monitoring equal opportunities and improving the early stage of our recruitment process. Your individual answers will never be visible to any Adyen employees and answers to this survey will not affect your application in any way. By submitting your answers you hereby consent to Adyen using the data for the prescribed purpose. For more information about the processing of your data and request for deletion, please have a look at the Applicant Privacy Policy

 

*Based on the classification provided by the central bureau of statistics in the Netherlands. 

**At Adyen, we are building an organization that supports people in their many unique life situations. Knowing this information will help us make our hiring process, benefits and professional development equitable and inclusive. 

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