Xideral
201 - 500 employees
Founded 2004
🤝 B2B
☁️ SaaS
📚 Education
B2B • SaaS • Education
Xideral is an expert company with over 20 years of experience in software management and talent development. They offer flexible and customized IT solutions, including services such as staff augmentation, software development, headhunting, and training. Xideral's mission is to close the talent gap by providing accessible training programs and leveraging their extensive network in the technology sector.
Senior Data Scientist – Applied AI
Job not on LinkedIn
🕒 February 26
🗣️🇪🇸 Spanish Required
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Xideral
201 - 500 employees
Founded 2004
🤝 B2B
☁️ SaaS
📚 Education
B2B • SaaS • Education
Xideral is an expert company with over 20 years of experience in software management and talent development. They offer flexible and customized IT solutions, including services such as staff augmentation, software development, headhunting, and training. Xideral's mission is to close the talent gap by providing accessible training programs and leveraging their extensive network in the technology sector.
📋 Description
• Colaborar con equipos de negocio para idear soluciones de Data Science a retos complejos. • Realizar EDA con datos provenientes de Data Lakes y plataformas Big Data. • Desarrollar, mantener y mejorar modelos de: Machine Learning Deep Learning Computer Vision (Must Have). • Entrenar y optimizar modelos usando técnicas como hyperparameter tuning. • Construir pipelines para despliegue e integración de modelos (MLOps es un plus). • Comunicar insights, resultados y hallazgos a stakeholders y product owners. • Trabajar en ambiente Agile/Scrum (standups, planning, sprints).
🎯 Requirements
• Ingles avanzado C1. • +5 años de experiencia. • Experiencia sólida en ML/DL aplicado (8+ años mínimo). • Experiencia en Computer Vision (obligatorio). • Dominio de Python y modelado con Spark / Spark-ML. • Experiencia trabajando con Big Data. • Experiencia en manufactura y modelos de series de tiempo (indispensable). • Background en investigación (PhD altamente deseable). • +2 años mínimo indispensables de experiencia en proyectos de investigación. • Experiencia en datos industriales: manufacturing / machine data / IoT / battery data. • Plus (Nice to have): MLOps / pipelines de deployment en producción. • Experiencia con AWS. • Conocimiento de Databricks o AWS SageMaker. • Airflow, CI/CD, GitHub. • Power BI o Tableau. • Experiencia con GenAI, LLMs, VLMs.
🏖️ Benefits
• Salario atractivo de acuerdo al nivel de experiencia. • Pago nominal y quincenal • Prestaciones de ley y superiores: Aguinaldo, Vacaciones, Prima vacacional. • Seguros: SGMM, Seguro de Vida, Otros: Vales de Despensa, Fondo de Ahorro y Bonos • Equipo intercultural de trabajo • Contrato de forma indefinida.
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