Job Opportunity
A prominent e-commerce platform for a US-based retail giant is in need of modernization, maintenance, and development. This endeavor aims to serve millions of customers weekly without disrupting business operations.
The current priorities include onboarding new brands, re-architecture, database migrations, and migrating microservices to a unified cloud-native solution.
* Search solutions utilizing Lucene/Solr and modern embeddings require optimization, design, and development.
* Machine learning, deep learning, and natural language processing techniques are applied to enhance search relevance and ranking.
* Data pipelines and APIs must be developed for indexing, retrieval, and model inference purposes.
* Integrating ML models and search capabilities into production systems is crucial.
* Evaluation, fine-tuning, and monitoring of search performance metrics is essential.
* Collaboration with software engineers, data engineers, and product teams is necessary to translate business needs into technical implementations.
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Requirements
To succeed in this role, the ideal candidate will have expertise in:
* Semantic and vector-based search solutions using Lucene/Solr and modern embeddings.
* Machine learning, deep learning, and natural language processing techniques.
* Scalable data pipelines and APIs for indexing, retrieval, and model inference.
* Integration of ML models and search capabilities into production systems.
* Evaluation and fine-tuning of search performance metrics.
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What We Offer
This role presents an opportunity to work on a large-scale project, collaborating with cross-functional teams to drive innovation and growth. The ideal candidate will be challenged to:
* Design and develop efficient search solutions.
* Apply advanced machine learning techniques to improve search relevance.
* Develop scalable data pipelines to support search functionality.
* Collaborate with software engineers and data engineers to integrate ML models and search capabilities.