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A leading technology firm is seeking an experienced Data Engineer in Brazil to modernize an eCommerce platform for a significant retail client. Responsibilities include optimizing search solutions and integrating machine learning models into production systems. The ideal candidate has over 5 years of experience in Data Science, proficient in both Java and Python, with strong knowledge of search technologies like Lucene and Elasticsearch. This role involves collaboration with cross-functional teams to enhance search relevance and system performance.
The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.
Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.
Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.
We are looking for an experienced Data Engineer with Machine Learning expertise and good understanding of search engines, to work on the following :
5+ years of experience in Data Science or Machine Learning Engineering, with a focus on Information Retrieval or Semantic Search.
Strong programming experience in both Java and Python (production-level code, not just prototyping).
Deep knowledge of Lucene, Apache Solr, or Elasticsearch (indexing, query tuning, analyzers, scoring models).
Experience with Vector Databases, Embeddings, and Semantic Search techniques.
Strong understanding of NLP techniques (tokenization, embeddings, transformers, etc.).
Experience deploying and maintaining ML / search systems in production.
Solid understanding of software engineering best practices (CI / CD, testing, version control, code review).
English : B2 Upper Intermediate