Key Objectives:
* Modernize and develop a unified eCommerce platform for a retail business.
Main Responsibilities:
* We're seeking a data science expert to design, build, and optimize search solutions using Lucene/Solr and modern embeddings.
* The ideal candidate will apply machine learning, deep learning, and natural language processing techniques to enhance search relevance and ranking.
* They'll develop scalable data pipelines and APIs for indexing, retrieval, and model inference.
* Incorporating ML models and search capabilities into production systems is also essential.
* Evaluation, fine-tuning, and monitoring of search performance metrics are critical components of this role.
* Collaboration with software engineers, data engineers, and product teams is expected.
Why It Matters:
* This project involves the modernization of an eCommerce platform.
* Priorities include new brand onboarding, re-architecture, database migrations, and microservices migration to a cloud-native solution.
Requirements:
1. Mastery of semantic and vector-based search solutions.
2. Expertise in machine learning, deep learning, and natural language processing.
3. Strong programming skills, including proficiency in languages such as Python or Java.
4. Familiarity with data pipeline management and API development.
5. Ability to work effectively with cross-functional teams.