Machine Learning Engineer - Adyen

Ayden

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Work type
On-site
Location
Bengaluru, India
Posted
1 day ago

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How this pay compares to similar roles

Similar $224k
$161k most similar roles pay here $277k

This listing doesn't post a salary. Most similar roles pay $197,925–$249,750.

Based on 240 similar postings.

Employer

About Ayden

Adyen is a global payments platform that provides end-to-end payment processing, merchant acquiring, and issuing solutions to large global companies, enabling them to accept payments anywhere in the world. Industry: Payments Technology & Financial Services

Ayden currently has 111 open roles on FindRole.

Listed pay typically runs $180,000–$243,000 across 49 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer - Adyen

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Adyen is seeking a Machine Learning Engineer for its Payments Core Data team in Bengaluru, where you will design and maintain scalable ML services. Your daily tasks include building full-lifecycle production ML pipelines tailored to localized requirements, driving applied decision science by integrating recommendation and classification models into merchant-facing products, optimizing performance to ensure seamless scaling within high-throughput environments, architecting reusable AI components for Generative AI applications, and championing technical excellence through collaboration with international MLOps teams. Ideal candidates have 4+ years of experience in machine learning, expert Python skills, proficiency in big data tools like Spark and SQL/Trino, hands-on experience with ML infrastructure such as Kubernetes, Docker, Airflow, and monitoring stacks like Prometheus and Grafana, and a strong experimental mindset to solve complex real-world problems.

Skills

Python PyTorch TensorFlow XGBoost LightGBM Pandas Scikit-learn Spark SQL Trino Kubernetes Docker Airflow Argo-Workflows Prometheus Grafana MLOps CI/CD

What you'll do

  • Develop and maintain full-lifecycle production ML pipelines.
  • Design and deploy recommendation and classification models for real-time insights.
  • Identify and resolve performance bottlenecks in training and inference.
  • Own the development of reusable AI components for scaling applications.
  • Promote and apply software and data engineering best practices globally.

What we're looking for

  • 4+ years of experience in machine learning with expert Python skills.
  • Proficient in full-lifecycle ML development, including big data and MLOps practices.
  • Hands-on experience with ML infrastructure tools like Kubernetes, Docker, Airflow.
  • Expertise in designing and deploying robust, scalable ML services in production.
  • Strong foundational knowledge in statistics and iterative experimentation techniques.

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