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Senior Data Scientist / Ml Engineer

Luxoft

Manaus

Presencial

BRL 80.000 - 120.000

Tempo integral

Há 6 dias
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Resumo da oferta

A leading tech company based in Brazil is seeking an experienced Data Engineer to modernize and develop an eCommerce platform. The role requires expertise in Machine Learning and strong programming skills in Java and Python. Candidates should have deep knowledge in search technologies, including Lucene and Elasticsearch, and the ability to design scalable data pipelines. This position offers an opportunity to work on cutting-edge solutions for improving search relevance for a major retail client.

Qualificações

  • 5+ years of experience in Data Science or Machine Learning Engineering.
  • Strong programming experience in production-level Java and Python code.
  • Deep knowledge of indexing and query tuning with search engines.

Responsabilidades

  • Design, develop, and optimize semantic search solutions using Lucene/Solr.
  • Apply ML and deep learning techniques to enhance search relevance.
  • Develop data pipelines and APIs for model retrieval and inference.

Conhecimentos

Data Science
Machine Learning
Lucene
Java
Python
Elasticsearch
Natural Language Processing

Ferramentas

Apache Solr
Vector Databases
Descrição da oferta de emprego
Project Description

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.

Responsibilities

We are looking for an experienced Data Engineer with Machine Learning expertise and good understanding of search engines, to work on the following :

  • Design, develop, and optimize semantic and vector-based search solutions leveraging Lucene / Solr and modern embeddings.
  • Apply machine learning, deep learning, and natural language processing techniques to improve search relevance and ranking.
  • Develop scalable data pipelines and APIs for indexing, retrieval, and model inference.
  • Integrate ML models and search capabilities into production systems.
  • Evaluate, fine‑tune, and monitor search performance metrics.
  • Collaborate with software engineers, data engineers, and product teams to translate business needs into technical implementations.
  • Stay current with advancements in search technologies, LLMs, and semantic retrieval frameworks.
Mandatory Skills Description

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).

Languages

English : B2 Upper Intermediate

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