Job Overview
We are seeking a highly skilled Data Engineer with expertise in Machine Learning to join our team and contribute to the development of a cutting-edge eCommerce platform.
The successful candidate will be responsible for designing, developing, and optimizing semantic and vector-based search solutions leveraging Lucene/Solr and modern embeddings.
- Key Responsibilities:
- Design and 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.
Required Skills and Qualifications
To be successful in this role, you will need to possess the following skills and qualifications:
- 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).
Languages: English: B2 Upper Intermediate