Senior Data Science & ML Engineer

Ernst & Young Advisory Services Sdn Bhd; Ciudad de México; Presencial; MXN 550,000 - 918,000; Jornada completa

Descripción de la vacante

A global consulting firm in Mexico City is seeking a skilled individual to develop analytical models and implement machine learning techniques. The ideal candidate will have a Bachelor's degree in a relevant field, advanced Python skills, and a strong understanding of cloud technologies. Responsibilities include creating data visualizations and collaborating with teams on innovative solutions in Big Data. Competitive salary and professional growth opportunities provided.

Formación

• Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or Engineering.
• Strong knowledge of cloud technologies, dashboards, and Big Data.

Responsabilidades

• Develop and apply analytical models for data interpretation.
• Create data visualizations using tools such as Tableau and Power BI.
• Implement Machine Learning and Deep Learning techniques to solve problems.
• Collaborate with multidisciplinary teams to develop innovative solutions in Big Data.

Conocimientos

Advanced Python

Advanced English

Strong knowledge of cloud technologies

Data visualization

Machine Learning

Deep Learning

Educación

Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or Engineering

Herramientas

Amazon SageMaker

GCP Vertex AI

Databricks

Kubernetes

MLflow

Docker

Flask

FastAPI

Scikit-learn

Keras

Pandas

NumPy

SciPy

TensorFlow

PyTorch

Git

CI/CD

Apache Spark

PySpark

Hadoop

Descripción del empleo

A global consulting firm in Mexico City is seeking a skilled individual to develop analytical models and implement machine learning techniques. The ideal candidate will have a Bachelor's degree in a relevant field, advanced Python skills, and a strong understanding of cloud technologies. Responsibilities include creating data visualizations and collaborating with teams on innovative solutions in Big Data. Competitive salary and professional growth opportunities provided.