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A tech consultancy in São Paulo is seeking an experienced Data Engineer with expertise in Machine Learning and a solid understanding of search engines. The candidate will design and optimize semantic and vector-based search solutions, develop scalable data pipelines, and integrate ML models into production systems. Preferred qualifications include strong programming skills in Java and Python, plus extensive knowledge of Lucene, Solr, and Elasticsearch. This opportunity is perfect for someone with a passion for search technologies and data science.
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