Назад
2 дня назад

Senior ML Engineer (JoomPro/Marketing Automation)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Страна
Latvia/Portugal/China +1 еще
Релокация
Portugal
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TL;DR
Senior ML Engineer (JoomPro/Marketing Automation) (Machine Learning/Recommendation Systems): Building marketing automation infrastructure and improving search and recommendation systems for a cross-border B2B marketplace with an accent on end-to-end machine learning development, distributed high-load applications, and product relevance. Focus on analyzing raw data, formulating hypotheses, training and evaluating models, and deploying production ML solutions.

Senior ML Engineer (JoomPro/Marketing Automation)

Company

JoomX

Conditions

Full-time Senior 🇵🇹 Portugal 💻 Development ✈️ Relocation Job description

Senior ML Engineer (JoomPro/Marketing Automation)

We are looking for Senior ML developers to join our teams:

Marketing Automation team

Responsible for automating marketing and optimizing its effectiveness. We are responsible for both external marketing (advertising purchases) and internal marketing (direct communications via push notifications/emails). We provide the infrastructure and tools for effective marketing.

  • Tech stack: Spark, Scala, Python, Airflow, Go

JoomPro

First and only end-to-end cross-border B2B marketplace. Serves small, medium, and large businesses, handling orders of any size from start to finish. Focus on improving core search algorithms, enhancing the recommendation system’s understanding of user queries, and increasing the relevance of products returned for those queries.

  • Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins

Responsibilities

  • Strong algorithmic skills: knowledge of fundamental algorithms and data structures, as well as their implementation in standard libraries
  • Proficiency in any language: experience in developing and debugging distributed, high-load applications, and writing testable code
  • Industry experience in Machine Learning: familiarity with key modeling and training approaches (linear models, GBDT, DNN, etc.), knowledge of statistics, and end-to-end ML development experience, including raw data analysis, hypothesis formulation, model creation, experimentation, and deploying results into production

Preferred

  • Experience in developing recommendation or search systems
  • Experience training neural network models
  • Experience working with various data sources: Spark, Cassandra, Mongo, Kafka
  • Knowledge of Go

We offer

  • Compensation package: base salary and performance-based bonuses
  • Office-first: flexible hours with a possibility to work remotely 52 days per year
  • Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
  • Relocation Support: full assistance for a smooth relocation for the employees and their family
  • Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses
  • Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work

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