Machine Learning Engineer
Навыки
- AI-инструменты в работе
- Airflow
- Big Data
- XGBoost / LightGBM / CatBoost
- Docker
- Grafana
- Kubernetes
Ещё 14
- Machine Learning
- MLOps
- Room / Realm / CoreData
- Ответственность за результат
- Pandas
- Prometheus
- Python
- PyTorch
- scikit-learn
- Spark
- SQL
- Статистика
- TensorFlow
- Trino / Presto
О компании и продукте
- 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
Задачи
- 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
- 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
- You will be responsible for designing, productionizing, and maintaining robust, scalable machine learning services that power data products at Adyen
Требования
- 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
- You have experience with distributed GPU compute environments
- You have experience working with a Machine Learning ‘Feature Store’
Будет плюсом
- 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 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
- 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 Bengaluru office. We are an office-first company and value in-person collaboration
- we do not offer remote-only roles
Паспорт вакансии
История публикации
Появилась в Вакандии26 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 26 дней назад
Среди похожихНет данных66 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдMiddleвыведено из другого признака
Формат работыУдалённовычитано из текста вакансии
ГеографияБангалор, Индиявычитано из текста вакансии
Зарплата≈ 16 225 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
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- greenhouseОсновная публикация · 2025-10-27
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Признаки мошенничества
- Просят предоплату, «залог» или деньги за обучение и оборудование.
- Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
- Быстро уводят в мессенджер и торопят с решением.
- Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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