Location
Remote (Mexico)
Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 16, 2026. Softtek scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Softtek is a Mexican information technology services company founded in Monterrey in 1982 that coined the term nearshore to describe delivering technology services to the United States from Latin America. It provides application development and maintenance, enterprise application implementation on SAP and other platforms, cloud and infrastructure management, digital engineering, quality assurance and business process services to clients across the Americas, Europe and Asia. Headquartered in Monterrey and privately held, it operates delivery centres across Mexico, Brazil, Argentina, Spain, India and China and is one of the largest technology services firms based in Latin America.
Científico de Datos con experiencia en Machine Learning - Proficient
Habilidades Requeridas:
- Dominio avanzado de Python y librerías de Ciencia de Datos como Scikit-Learn, XGBoost, LightGBM, Pandas, Polars, Statsmodels y SciPy.
- Experiencia en machine learning, análisis estadístico, validación de modelos, pruebas de hipótesis y análisis causal.
- Manejo de SQL avanzado, PySpark y procesamiento de datos a gran escala.
- Experiencia trabajando con datos en entornos cloud como Google Cloud Storage (GCS) y Azure Blob Storage.
- Conocimiento de buenas prácticas de desarrollo: Git, código modular, documentación técnica, trazabilidad de experimentos y herramientas como MLflow.
Habilidades Deseables:
- Experiencia con TensorFlow o PyTorch para proyectos de Deep Learning.
- Conocimiento de IA Generativa, LLMs y sistemas basados en agentes.
- Experiencia en entornos de nube y despliegue de soluciones analíticas en producción.
Responsabilidades
- Desarrollar modelos estadísticos y de machine learning para resolver problemas de negocio, analizar grandes volúmenes de datos, diseñar experimentos, validar hipótesis y comunicar hallazgos de forma clara y accionable para distintos niveles de la organización. Participar activamente en todo el ciclo de vida de los modelos, desde la exploración y preparación de datos hasta su documentación y seguimiento.
Idiomas Requeridos
Intermedio Alto
Ubicación
México o India
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