Ai Engineer

OverviewAs a Data Scientist at Antolin, you will develop ML and AI solutions for Advanced Manufacturing and Industry ***.You will transform industrial data into actionable insights, collaborate across Manufacturing, Operations, IT, and Digital teams, and build predictive models for maintenance, quality, and energy efficiency.You will create dashboards to communicate insights and monitor deployed models.This role supports manufacturing optimization, sustainability, and business performance in a global automotive leader.Compensaciones / Beneficiosinternational career opportunitiespersonal learning journeyinternational project exposureopen environment to learn new technologiescompetitive salary and benefitsOEM discountsResponsabilidadesDevelop and deploy ML, AI, and advanced analytics for manufacturing optimizationAnalyze operational data to identify opportunities and generate insightsBuild predictive models for maintenance, quality, process performance, energy efficiency, and forecastingCollaborate with Manufacturing, Operations, Quality, IT, and Digital teams to solve business challengesCreate dashboards and visualizations to communicate insights to stakeholdersMonitor, maintain, and improve deployed analytical modelsEvaluate and adopt emerging AI/Industry 4.0 technologies for digital transformationRequisitos principales3+ years of experience in Data Science, ML, or Advanced AnalyticsStrong expertise in Python, SQL, statistical analysis, and predictive modelingExperience deploying ML/AI solutions that generate business valueKnowledge of data visualization tools such as Power BI, Grafana, or TableauAbility to translate business challenges into actionable insightsCuriosity, innovation mindset, excellent communication skills, focus on continuous improvement and digital transformationCuriosityexcellent communicationcollaboration across multidisciplinary teamsPythonSQLstatistical analysis

Requisitos principales3+ years of experience in Data Science, ML, or Advanced Analytics Strong expertise in Python, SQL, statistical analysis, and predictive modeling Experience deploying ML/AI solutions that generate business value Knowledge of data visualization tools such as Power BI, Grafana, or Tableau Ability to translate business challenges into actionable insights Curiosity, innovation mindset, excellent communication skills, focus on continuous improvement and digital transformation Curiosity excellent communication collaboration across multidisciplinary teams Python SQL statistical analysis