Machine Learning Engineer - Ciudad de México - Page Personnel

Page Personnel

Empresa verificada

Ciudad de México

hace 2 semanas

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

Opportunity to be a part of a multinational company in the FMCG industry.

Sobre nuestro cliente:

Leading multinational company with more than 100 years of experience in the food, health and wellness industry.

This company is considered a Great Place to Work and they have been considered as a socially responsible company for more than 15 years.

Descripción:

The main resposibilities are:

Test and implement data engineering and machine learning methods to derive insights that drive business growth.
Design and maintain data processing and model training pipelines in Azure Data Factory and DataBricks Workflows.
Move code and ADF/DataBricks pipeline from development to production environments using CI/CD process.
Drive the execution of AI solutions to address business needs.
Drive EA priorities through rapid piloting and scaling of next gen technologies.
Incorporate the latest machine learning and data processing techniques into the company's solutions and models.
Collect, cleanse, and understand complex data sources to enable proper analytical modeling.
Define and develop programming for selfservice decision support solutions that leverage predictive, prescriptive, and scenario optimization tactics.

Perfil buscado (Hombre / Mujer):

Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, or a similar field. Master's degree strongly preferred.
Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs).
Ability to develop and deploy advanced machine learning models and algorithms that drive profitable growth.
Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Probability Networks, AI, Machine Learning, Neural Networks, Bayesian models etc.).
Strong understanding of Azure Cloud infrastructure including Data Factory, AzureML. DataBricks, and Azure DevOps.
Proficient with one or more programming language such as Spark, PySpark, R, or Python.
Experience visualizing/presenting data for partners using PowerBI and/or Tableau.
Passion for solving complex data problems and generating crossfunctional solutions in a fastpaced environment.

Qué Ofrecemos: