Lead E-Commerce Platform Developer

Bebeesearchengineer; Manaus; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology firm in Manaus is seeking an experienced Data Scientist or Machine Learning Engineer to modernize their e-commerce platform. The role involves designing and optimizing search solutions, applying machine learning techniques, and integrating these capabilities into production systems. Candidates should have at least 5 years of relevant experience, strong programming skills in Java and Python, and a deep understanding of search technologies like Lucene and Solr. This position offers an opportunity to impact customer experiences across multiple channels.

Qualificações

• 5+ years of experience in Data Science or ML Engineering focused on Information Retrieval or Semantic Search.
• Strong programming skills in both Java and Python.
• Deep knowledge of Lucene, Solr, or Elasticsearch.
• Experience with Vector Databases and Semantic Search techniques.

Responsabilidades

• Design, develop, and optimize semantic and vector-based search solutions.
• Apply ML, deep learning, and NLP techniques to improve search relevance.
• Develop scalable data pipelines and APIs for indexing and retrieval.
• Integrate ML models into production systems.
• Evaluate and monitor search performance metrics.

Conhecimentos

Experience in Data Science or Machine Learning Engineering

Programming skills in Java

Programming skills in Python

Knowledge of Lucene, Apache Solr, or Elasticsearch

Experience with Vector Databases

Understanding of NLP techniques

Experience in deploying ML systems

Knowledge of software engineering best practices

Descrição da oferta de emprego

Job Overview

The primary goal of this project is to modernize, maintain, and develop an e-commerce platform for a leading retail company in the US. The platform serves millions of customers each week across various channels. Solutions are delivered by multiple Product Teams focused on different domains – Customer, Loyalty, Search and Browse, Data Integration, Cart. Current top priorities include onboarding new brands, re-architecture, database migrations, and migrating microservices to a unified cloud‑native solution without disrupting business operations.

Responsibilities

• Design, develop, and optimize semantic and vector‑based search solutions using 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 up‑to‑date with advancements in search technologies, LLMs, and semantic retrieval frameworks.

Required Skills and Qualifications

• 5+ years of experience in Data Science or Machine Learning Engineering, with a focus on Information Retrieval or Semantic Search.
• Strong programming skills in both Java and Python (production‑level code).
• 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).