Machine Learning Engineer (II and Senior)

pbThis is Adyen /b /pbrLees verder om volledig te begrijpen wat deze baan vereist op het gebied van vaardigheden en ervaring. Bent u een goede match, solliciteer dan.brpAt Adyen, we 2re engineered for ambition. We 2e empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help businesses achieve their ambitions faster. /ppFor 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. /ppbMachine Learning Engineer (II and Senior) /bAdyen is looking for a Machine Learning Engineers (II and Senior) to join our team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments. You will be responsible for designing, productionizing and maintaining machine learning services that power data products at Adyen. /pTeams Currently Hiring:ulliProtect /liliAccount Risk Engine /li /ulIn this role, you will:ulliDevelop and maintain production ML pipelines for data ingestion, training, validation, and deployment. Examples ML domains are: on-line learning algorithms to pick the best optimization decision in a changing environment, clustering algorithms to group customers/shoppers, supervised and semi-supervised learning methods for inference on risk patterns or graph analysis, representation learning for behavior prediction and monitoring, Anti-Money Laundering (AML) systems and real-time anomaly detection based on time-series modeling; /liliIdentify and fix performance bottlenecks in ML training and inference (memory consumption, online latency, training time etc.); /liliCollaborate with software engineers to integrate ML solutions into products and services; /liliCollaborate with data scientists to transition research prototypes into scalable solutions; /liliCollaborate with MLOps and platform teams to integrate effectively with current tools, and shape priority for future tools; /liliSupport and encourage good engineering practices on product ML teams; /li /ulWho You Are:ulliYou have 5+ years of experience as an engineer working in the machine learning domain; /liliYou are a strong Python programmer; /liliYou have experience with the full machine learning model lifecycle in production flows; /liliYou have experience leveraging big data to create the pipelines needed to feed the models with appropriate data; /liliYou have a strong understanding of good software engineering practices as well as data engineering and MLOps principles; /liliYou have knowledge of data science, statistics and machine learning techniques; /liliYou have strong familiarity with the standard data science toolkit in python, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar MLOps frameworks, and Airflow; /liliYou have knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana /liliYou have an experimental mindset with a launch fast and iterate mentality; /liliYou proactively take the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences. /li /ulNice to Have:ulliYou have experience with distributed GPU compute environments /liliYou have experience working with a Machine Learning ‘Feature Store’ /li /ulOur Diversity, Equity and Inclusion commitmentspOur 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. xgiwjmb No matter who you are or where you re from, we welcome you to be your true self at Adyen. /ppStudies show that women and members of underrepresented commu /pbr