Data scientist AWS y Python

Luxoft; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading technology consultancy in Madrid is seeking a Senior Data Engineer with expertise in Machine Learning and Information Retrieval. You will design and optimize search solutions using modern technologies and collaborate with cross-functional teams to enhance our eCommerce platform. The ideal candidate has over 5 years of experience in Data Science, strong programming skills in Java and Python, and familiarity with NLP techniques. This role offers a competitive salary and opportunities to work on innovative projects.

Formación

• 5+ years of experience in Data Science or Machine Learning Engineering focused on Information Retrieval.
• Strong programming skills in Java and Python.
• Deep knowledge of Lucene, Apache Solr, or Elasticsearch.
• Experience with Vector Databases and Semantic Search techniques.

Responsabilidades

• Design, develop, and optimize semantic and vector-based search solutions.
• Apply machine learning and NLP techniques to improve search relevance.
• Develop scalable data pipelines and APIs.
• Collaborate with product teams on technical implementations.

Conocimientos

Data Science or Machine Learning Engineering

Java Programming

Python Programming

Lucene, Apache Solr, or Elasticsearch

NLP Techniques

Machine Learning / Search systems in production

Software Engineering Best Practices

Herramientas

Spring Boot

FastAPI

Kubernetes

Docker

AWS

Azure

GCP

Descripción del empleo

Overview

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, 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.

Responsibilities

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.

Skills

Must have

• ~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).

Nice to have

• 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.

Other

Languages

• ~ English : B2 Upper Intermediate

Seniority

• ~ Senior