Senior Data Scientist / Ml Engineer

Luxoft; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology consulting firm is looking for an experienced Data Engineer proficient in Machine Learning to optimize search solutions for a major US retail client. Candidates should have over 5 years in Data Science, strong programming skills in Java and Python, and expertise in Lucene and Semantic Search. The work involves designing scalable data pipelines and integrating ML models to improve search performance for a high-volume eCommerce platform based in Brazil, Paraná, Fazenda Rio Grande.

Qualificações

• 5+ years in Data Science or Machine Learning Engineering focused on Information Retrieval or Semantic Search.
• Strong programming in Java and Python for production-level systems.
• Deep knowledge of Lucene, Solr, or Elasticsearch including indexing and query tuning.

Responsabilidades

• Design and develop semantic and vector-based search solutions.
• Apply machine learning techniques to improve search relevance.
• Develop scalable data pipelines and APIs for search indexing.

Conhecimentos

Data Science

Machine Learning

Java

Python

Lucene

Apache Solr

Elasticsearch

Natural Language Processing

Semantic Search

Ferramentas

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