Senior Data Scientist / Ml Engineer

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

Resumo da oferta

A multinational IT consultancy is seeking an experienced Data Engineer to modernize an eCommerce platform. The role involves developing semantic and vector-based search solutions, applying machine learning techniques, and collaborating with teams to meet business needs. Candidates should have at least 5 years of experience in Data Science or Machine Learning Engineering and strong programming skills in Java and Python. Knowledge of search technologies like Lucene and Apache Solr is essential.

Qualificações

• 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 with production-level code.
• Deep knowledge of Lucene, Apache Solr, or Elasticsearch for indexing and query tuning.

Responsabilidades

• Design and optimize semantic and vector-based search solutions.
• Apply ML and NLP techniques to enhance search relevance.
• Develop data pipelines and APIs for indexing and retrieval.

Conhecimentos

Machine Learning

Java

Python

Information Retrieval

NLP techniques

Ferramentas

Lucene

Apache Solr

Elasticsearch

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