ml engineer for quantitative workflows

Tenth Revolution Group; Warszawa; Hybrid; PLN 1,000,000 - 1,400,000; Full time

Job summary

Tenth Revolution Group ищет опытного инженера ML/AI для разработки продакшн‑решений для сложных бизнес‑задач. Вы будете работать с инженерами, исследователями и экспертами отрасли, чтобы развивать и внедрять ML‑модели в производственные окружения в AWS.

Требуется сильное владение Python, опыт работы с AWS SageMaker, навыки MLOps и способность руководить проектами. Гибридный режим работы, контракт до 31 марта 2027 года.

Qualifications

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Responsibilities

• Проектирование, разработка и внедрение продакшн‑решений на ML/AI для сложных задач.
• Сотрудничество с инженерами, исследователями и экспертами-области для продвижения продакшн ML‑систем.
• Исследование и прототипирование подходов AI/ML и технологий.
• Построение конвейеров данных и ML‑платформ от подготовки данных до развёртывания и мониторинга.
• Разработка, тестирование и поддержка продуктоориентированного ПО.
• Применение практик MLOps: версионирование моделей, мониторинг, развёртывание.
• Работа с AWS: SageMaker, Lambda, S3.
• Создание повторно используемых библиотек и стандартов инженерии для надёжности ML‑систем.
• Техническое лидерство и владение проектами.

Skills

Python

C++/Java

AWS SageMaker

MLOps

Data preprocessing

ML lifecycle

Team ownership

Research prototyping

Education

Master’s or PhD

Tools

SageMaker

Lambda

S3

Job description

Описание

The technology team builds production-grade AI and machine learning solutions for complex business and quantitative workflows. It develops scalable, reliable systems used in real-world production environments.

Задачи

• Design, develop, and deploy production-grade machine learning and AI solutions for complex business and quantitative problems
• Collaborate with engineers, researchers, and domain experts to advance production ML systems and applications
• Research, prototype, experiment with, and evaluate AI/ML approaches and technologies
• Build data and machine learning pipelines, from data preparation and feature engineering through model deployment and monitoring
• Develop, test, and maintain scalable, production-ready software
• Apply MLOps practices, including model versioning, monitoring, deployment, and lifecycle management
• Work with AWS technologies, including SageMaker, Lambda, and S3
• Create reusable libraries, frameworks, and engineering standards for reliable and testable ML systems
• Take technical ownership of projects and demonstrate leadership across teams
• Represent the organisation at technology and AI/ML conferences, industry events, and open-source communities

Требования

• 5+ Years of professional experience in software engineering, machine learning, AI, quantitative technology, or a related field
• Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent industry experience
• Experience building and deploying machine learning models in production, preferably in AWS environments
• Strong Python skills and experience with another modern language such as C++ or Java
• Understanding of data preprocessing, feature engineering, model evaluation, and ML lifecycle management
• Practical MLOps experience, including model monitoring, versioning, deployment, and reproducibility
• Hands-on experience with AWS services such as SageMaker, Lambda, and S3
• Strong software engineering mindset focused on code quality, testing, scalability, and maintainability
• Ability to own technically complex projects and work effectively across teams
• Будет плюсом: experience developing software for quantitative investment, trading, financial modelling, or other data-intensive workflows; experience with equities, fixed income, multi-asset strategies, or other quantitative investment domains

Условия

B2B contract secured until 31 March 2027, with an intention to extend for up to 4 years in total. Hybrid work model with 3 days in the office.