Enterprise Search Architect

Bebeedata; A distancia; MXN 800,000 - 1,000,000; Jornada completa

Descripción de la vacante

A tech firm specializing in search solutions is seeking a Search Solutions Engineer to design, develop, and optimize semantic search solutions. The ideal candidate will have over 5 years of experience in Data Science or Machine Learning, strong programming skills in Java and Python, and deep knowledge of search technologies like Lucene and Solr. This role offers a flexible working environment with opportunities for growth and collaboration with talented professionals.

Servicios

Opportunity to collaborate with talented professionals

Flexible working environment

Opportunities for growth and development

Formación

• 5+ years of experience in Data Science or Machine Learning Engineering.
• Strong programming experience in Java and Python for production-level code.
• Deep knowledge of Lucene, Apache Solr, or Elasticsearch.

Responsabilidades

• Design scalable data pipelines and APIs for indexing and retrieval.
• Integrate ML models and search capabilities into production systems.
• Evaluate and monitor search performance metrics.

Conocimientos

Machine Learning

Java Programming

Python Programming

Information Retrieval

Semantic Search

NLP Techniques

Herramientas

Lucene

Apache Solr

Elasticsearch

Vector Databases

Descripción del empleo

Search Solutions EngineerThis is a key role that involves designing, developing and optimizing semantic and vector-based search solutions using Lucene / Solr and modern embeddings.

Responsibilities

• We are looking for an experienced professional with expertise in machine learning and good understanding of search engines to work on the following: Design 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.

Requirements

• 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.).

Benefits

• Opportunity to collaborate with talented professionals across different domains.
• Chance to develop scalable search solutions leveraging cutting-edge technologies.
• Flexible working environment with opportunities for growth and development.