Machine Learning 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. Machine Learning Engineer Adyen is hiring a Machine Learning Engineer for the Payments Core Data team in Bengaluru, our newest office. You will be responsible for designing, productionizing, and maintaining robust, scalable machine learning services that power data products at Adyen. In this role, you will:  Build the Platform Bridge: Develop and maintain full-lifecycle production ML pipelines while acting as a technical anchor to adapt global frameworks for (India) localized requirements, ensuring architectural parity and high-performance execution. Drive Applied Decision Science: Design and productionize end-to-end recommendation and classification models integrated directly into merchant-facing products, turning complex data patterns into real-time, actionable insights. Optimize for Performance: Identify and resolve performance bottlenecks in training and inference (memory, latency, throughput) to ensure ML solutions scale seamlessly within a high-throughput production environment. Architect the Intelligence Layer: Own the development of reusable AI components - that serve as the foundation for scaling Generative AI applications. Champion Technical Excellence: Promote and apply software and data engineering best practices while partnering with international MLOps and platform departments to seamlessly adopt internal toolsets. Who You Are: Experienced Engineer & Python Expert: You have 4+ years of experience in the machine learning domain with expert-level Python skills and deep familiarity with the standard data science toolkit (e.g., PyTorch, TensorFlow, XGBoost/LightGBM, Pandas, and Scikit-learn). Full-Lifecycle Architect: You are proficient in the end-to-end ML lifecycle - from leveraging big data (Spark, SQL/Trino) to build robust pipelines to deploying and maintaining models in production using MLOps best practices. Infrastructure & Automation Savvy: You have hands-on experience with ML infrastructure and orchestration tools such as Kubernetes, Docker, Airflow, Argo-Workflows, and monitoring stacks like Prometheus and Grafana. Experimental & Iterative Mindset: You thrive in a "launch fast and iterate" environment, applying strong foundational knowledge of statistics and ML techniques to solve complex real-world problems. Technical Leader & Communicator: You proactively take ownership of projects from ideation to deployment, with the ability to lead stakeholders and translate complex technical outcomes into clear insights for any audience. Nice to Have: You have experience with distributed GPU compute environments You have experience working with a Machine Learning ‘Feature Store’ 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. 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 o