Advanced Data Engineering Position

3 semanas atrás

Fortaleza, Brasil beBeeData Tempo inteiro

Senior Data Scientist Job Description The primary goal of this project is to modernize, maintain and develop an e-commerce platform for a big retail company serving millions of omnichannel customers weekly. Solutions are delivered by several Product Teams focused on different domains: Customer, Loyalty, Search and Browse, Data Integration, Cart. Current priorities include new brand onboarding, re-architecture, database migrations and migrating microservices to a unified cloud-native solution without disrupting business. We seek an experienced Data Engineer with Machine Learning expertise and good understanding of search engines to work on: Designing, developing and optimizing semantic and vector-based search solutions using Lucene/Solr and modern embeddings. Applying machine learning, deep learning and natural language processing techniques to improve search relevance and ranking. Developing scalable data pipelines and APIs for indexing, retrieval and model inference. Integrating ML models and search capabilities into production systems. Evaluating, fine-tuning and monitoring search performance metrics. Collaborating with software engineers, data engineers and product teams to translate business needs into technical implementations. Staying current with advancements in search technologies, LLMs and semantic retrieval frameworks. Mandatory Skills: 5+ years of experience in Data Science or Machine Learning Engineering, focusing 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).

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