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Brq Digital Solutions
Senior Data Scientist / Ml Engineer
Job summary
A leading tech consulting firm is seeking an experienced Data Engineer specialized in Machine Learning to work on an eCommerce platform for a prominent US retail company. The successful candidate will design and optimize search solutions and apply advanced ML techniques to enhance search relevance. Candidates must have a minimum of 5 years in Data Science or Machine Learning, solid programming skills in Java and Python, and a deep knowledge of search technologies like Lucene and Solr. Strong understanding of NLP is essential.
Qualifications
- 5+ years of experience in Data Science or Machine Learning Engineering, specifically in Information Retrieval or Semantic Search.
- Strong programming skills in Java and Python at a production level.
- Deep knowledge of search frameworks and techniques.
Responsibilities
- Design, develop, and optimize search solutions leveraging Lucene/Solr.
- Apply machine learning techniques to enhance search relevance.
- Develop scalable data pipelines and APIs for data operations.
Skills
Tools
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.
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.
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).
English : B2 Upper Intermediate
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.