Data scientist with Java expertise

Luxoft; Canada; On-site; CAD 75,000 - 95,000; Full time

Job summary

A technology consulting company is seeking a Technical Recruiter to drive full-cycle recruitment efforts in IT. Applicants should have strong expertise in Data Science, Machine Learning, and experience with tools like Lucene and Solr. Responsibilities include designing semantic search solutions and collaborating with various teams to implement advanced search technologies. This full-time position is aimed at mid-senior level candidates with excellent programming skills and a solid grasp of software engineering best practices.

Qualifications

• 5+ years of experience in Data Science or Machine Learning Engineering.
• Strong programming experience in both Java and Python.
• Deep knowledge of Lucene, Apache Solr, or Elasticsearch.
• Experience with Vector Databases and Semantic Search techniques.
• Solid understanding of software engineering best practices.

Responsibilities

• Design, develop, and optimize semantic and vector-based search solutions.
• Apply machine learning techniques to improve search relevance.
• Develop scalable data pipelines and APIs for indexing and retrieval.
• Integrate ML models and search capabilities into production systems.
• Evaluate and monitor search performance metrics.

Skills

Data Science

Machine Learning

Information Retrieval

Semantic Search

Java

Python

NLP Techniques

Production-level code

Tools

Lucene

Apache Solr

Elasticsearch

Kubernetes

Docker

AWS

Job description

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Technical Recruiter @ Luxoft | Full Cycle Recruitment, IT Staff

Project Description

• 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, and Cart.
• Current overriding priorities are new brands onboarding, re-architecture, database migrations, and migration of microservices to a unified cloud-native solution without any disruption to business.

Responsibilities

We are looking for an experienced Data Engineer with Machine Learning expertise and a 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.

Mandatory Skills

• 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, and 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).

Nice-to-Have Skills

• Experience of work in distributed teams, with US customers
• Experience with LLMs, RAG pipelines, and vector retrieval frameworks.
• Knowledge of Spring Boot, FastAPI, or similar backend frameworks.
• Familiarity with Kubernetes, Docker, and cloud platforms (AWS/Azure/GCP).
• Experience with MLOps and model monitoring tools.
• Contributions to open-source search or ML projects.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting