TL;DR

Senior Data Scientist (AI): Develop and deploy advanced machine learning, GenAI, and Agentic AI models for %hirify_global%’s global Common Data Platform with an accent on full-stack data science, AI reliability, and platform integration. Focus on building production-grade AI components, navigating AI paradigm shifts, and collaborating across data engineering and DataOps teams.

Location: Hybrid in Madrid, Spain with remote working options

Company

%hirify_global% is a global corporation committed to innovation, diversity, and sustainability in the elevator and escalator industry.

What you will do

Develop, optimize, and deploy ML models including regression, classification, clustering, time series, and NLP.
Build GenAI and Agentic AI prototypes and production components using LLMs, vector search, and agent orchestration.
Collaborate with Data Engineers and DataOps to prepare datasets, ensure model reliability, and maintain production pipelines.
Explore diverse datasets (IoT, operational, sales, financial) to generate actionable insights and support analytics.
Contribute reusable AI components and define guardrails for safe and reliable AI deployment.

Requirements

Location: Must be able to work hybrid in Madrid, Spain with remote options.
3–6+ years experience as Data Scientist or ML Engineer with strong Python and SQL skills.
Hands-on experience with Databricks, Spark, MLflow, Delta Lake, and cloud data pipelines (Azure Data Lake, Data Factory).
Familiarity with LLMs, vector databases, semantic search, and agent frameworks.
Strong communication skills and ability to collaborate in a global cross-functional team.
English proficiency at least B2 level.

Nice to have

Experience with operational, IoT, field service, commercial, or industrial datasets.
Knowledge of data warehousing, dimensional modelling, and classical BI/ETL patterns.

Culture & Benefits

Flexible working hours and remote work options.
Health promotion and healthcare activities with high safety standards.
Supportive, diverse, and collegial work environment.
Professional development and training programs.
Modern workplaces with IT equipment, subsidized meals, free parking, and discounted public transport.
Commitment to diversity, inclusion, and accessibility.