ml engineer for product recommendations

Enfint; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Спортивный абонемент

Психологическая поддержка

До 20 дней удалённой работы в год

Deutschland Ticket

Обучение и тренинги

Zusammenfassung

Redcare Pharmacy ищет опытного ML‑инженера для руководства и развития продуктов Recommendations. Вы будете проектировать архитектуру, вести ML‑пайплайны и обеспечивать качество моделей, latency и масштабируемость в продакшене.

Это роль лидера технического направления с взаимодействием с продуктом, инженерами и бизнес‑заинтересованными сторонами. График гибридный, поддерживаются услуги удалённой работы в пределах ЕС.

Qualifikationen

• Обширный опыт разработки ML‑систем в продакшн-окружении.
• Опыт владения архитектурой и направлением ML‑проектов.
• Умение эффективно общаться с технико‑бизнес‑стейкхолдерами.

Aufgaben

• Вести архитектуру и техническое направление для продукта Recommendations.
• Проектировать и разворачивать ML‑пайплайны для генерации кандидатов и ранжирования.
• Обеспечивать надёжность, наблюдаемость и масштабируемость систем ML.
• Передавать решения командам и управлять рисками и ограничениями.
• М mentoring инженеров и продвижение ML‑best practices.

Kenntnisse

ML инженер

Рекомендательные системы

Техническое лидерство

Jobbeschreibung

Описание

Redcare Pharmacy is Europe’s No.1 e-pharmacy, providing online pharmacy services and personalized product experiences through technology and innovation.

Задачи

• Collaborate with Data & AI colleagues, product managers, engineers, and business stakeholders;
• Provide technical leadership for the Recommendations product and define the architecture, technical direction, and long-term evolution of machine learning systems;
• Design, build, and operate machine learning systems for candidate generation, ranking, personalization, product discovery, and recommendation optimization;
• Translate ambiguous business and product requirements into scalable ML solutions while balancing model quality, latency, reliability, scalability, and maintainability;
• Lead technical design and architectural decisions for complex ML initiatives and navigate trade‑offs across modeling, data, infrastructure, and product requirements;
• Develop ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement;
• Bring models into production using the cloud-based stack and ensure reliability, observability, and maintainability;
• Identify technical risks, gaps, and opportunities across the recommendation stack and drive improvements to system effectiveness and scalability;
• Communicate technical decisions, assumptions, limitations, and uncertainty to product, engineering, and business stakeholders;
• Raise engineering standards through design reviews, mentoring, knowledge sharing, and ML best practices.

Требования

• Extensive hands‑on experience as a Machine Learning Engineer, ML‑focused Software Engineer, or Data Scientist with strong engineering experience;
• Experience building and operating production‑grade machine learning systems, pipelines, or model‑based products;
• Technical ownership of complex ML systems;
• Strong experience with recommender systems, ranking, personalization, or related product discovery systems;
• Demonstrated technical leadership influencing architecture, engineering practices, and technical direction beyond individual contributions;
• Ability to work with complex data and understand ML failure modes such as data leakage, feedback loops, distribution shifts, and misleading offline metrics;
• Ability to reason about system‑level trade‑offs and make pragmatic decisions across model quality, latency, reliability, scalability, and maintainability;
• Ability to explain complex technical topics and trade‑offs clearly to technical and non‑technical stakeholders;
• Ownership of ambiguous, cross‑cutting problems and ability to drive technical initiatives across team boundaries;
• Collaborative approach, openness to feedback, and ability to mentor and guide other engineers.

Условия

• Sports membership package at Urban Sports Club;
• Anonymous and free psychological support from Likeminded;
• Up to 20 work-from-home days per year anywhere in the EU;
• Fully funded Deutschland Ticket;
• In-house and external training opportunities.