Junior MLOps Engineer

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, 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.

MLOps Engineer to join MLOps team

Adyen is seeking a MLOps Engineer to join our central MLOp 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.

Note: In this role, you won’t be building machine learning models yourself. Instead, your focus will be on enabling and supporting the teams who are developing them.

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

• 2-4 years of professional experience in MLOps, DevOps, ML Engineering, or related fields (e.g., internships, academic projects, or relevant coursework).
• You demonstrate basic proficiency in Python, and are able to write clean, readable code with guidance. You are actively improving your skills through hands-on practice and mentorship.
• You are comfortable with Git-based version control systems (e.g., GitHub or GitLab), including branching, pull requests, and resolving merge conflicts, ideally as part of a team workflow.
• You have an understanding of software engineering practices, such as debugging, logging, and writing simple unit tests, and you are eager to learn and adopt more advanced patterns.
• You are familiar with the machine learning model lifecycle, especially in terms of model training, evaluation, and deployment steps
• You understand MLOps concepts and tools, such as model versioning, automated pipelines, and reproducibility
• You show curiosity about ML algorithms and data science workflows
• You are eager to learn from and support senior engineers, and you actively seek feedback to grow your capabilities and confidence.
• You show a collaborative mindset, communicate effectively within your team, and are comfortable asking questions or sharing ideas, even when unsure.
• You are developing an experimental and iterative mindset, and are open to trying new approaches, learning from mistakes, and working within agile workflows.

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.