Senior Data Scientist / Ml Engineer

Luxoft; Guarapari; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading tech company in Brazil is seeking an experienced Data Engineer with a strong focus on Machine Learning and Information Retrieval. The role involves designing and optimizing search solutions and developing scalable data pipelines. The ideal candidate should have expertise in Java, Python, and search technologies like Lucene and Solr. Candidates must have at least 5 years of experience and solid knowledge of NLP practices. Join a dynamic team to drive innovations in eCommerce search capabilities.

Qualificações

• 5+ years of experience in Data Science or Machine Learning Engineering, focused on Information Retrieval or Semantic Search.
• Strong programming experience in Java and Python, capable of writing production-level code.
• Deep knowledge of Lucene, Apache Solr, or Elasticsearch including indexing and query tuning.
• Experience with Vector Databases and Semantic Search techniques.
• Strong understanding of NLP techniques including tokenization and embeddings.
• Experience in deploying and maintaining ML/search systems in production.
• Solid understanding of software engineering best practices.

Responsabilidades

• Design, develop, and optimize semantic and vector-based search solutions using Lucene/Solr.
• Apply machine learning and NLP techniques to improve search relevance.
• Develop scalable data pipelines and APIs for indexing and model inference.
• Integrate ML models into production systems.
• Evaluate and monitor search performance metrics.
• Collaborate with teams to translate business needs into technical implementations.
• Stay updated with advancements in search technologies and semantic frameworks.

Conhecimentos

Data Science

Machine Learning

Information Retrieval

Semantic Search

Java

Python

Natural Language Processing

Lucene

Apache Solr

Elasticsearch

Ferramentas

Vector Databases

Embeddings Techniques

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