Machine Learning Engineer

Adyen; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Adyen is hiring a Machine Learning Engineer for its Payments Core Data team in Bengaluru. You will design, productionize, and maintain robust machine learning services while collaborating with international teams.

The ideal candidate should possess over 4 years of experience, expert Python skills, and familiarity with MLOps best practices. Join a diverse and innovative team at Adyen to tackle unique technical challenges.

Qualifications

• 4+ years of experience in the machine learning domain.
• Proven ability in end-to-end ML lifecycle.
• Experience with MLOps best practices.

Responsibilities

• Develop and maintain ML pipelines that ensure architectural parity.
• Design models integrated into merchant-facing products.
• Identify and resolve performance bottlenecks in ML solutions.

Skills

Expert-level Python skills

Machine Learning expertise

Familiarity with PyTorch and TensorFlow

Hands-on experience with Kubernetes

Data Science toolkit proficiency

Tools

Docker

Airflow

Grafana

Job description

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».

Our Diversity, Equity and Inclusion commitments

We welcome people of all backgrounds to join us and be their true selves at Adyen. We believe diverse perspectives drive our success and innovation. All qualified applicants will receive equal consideration for employment.