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Data Scientist Generative Ai Expert - Bp - Sp
Decision group
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Connect with headhunters to apply for similar jobsSenior Data Scientist / Ml Engineer
Job summary
A leading IT services company is seeking a skilled Data Engineer with a strong foundation in Machine Learning and Search technologies. In this role, you will design and optimize search solutions and work collaboratively with various teams. Candidates should have at least 5 years of experience in Data Science, proficient in Java and Python, along with deep knowledge of search platforms like Lucene and Solr. A strong background in NLP and production-level ML system maintenance is essential.
Qualifications
- 5+ years of experience in Data Science or Machine Learning Engineering, focusing on Information Retrieval.
- Strong programming experience in Java and Python at the production level.
- Deep knowledge of search engines like Lucene, Apache Solr, or Elasticsearch.
Responsibilities
- Design, develop, and optimize search solutions leveraging Lucene / Solr.
- Apply machine learning techniques to improve search relevance.
- Integrate ML models into production systems.
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.