Senior Machine Learning Engineer (Remote)

Grupo Pesado Castro; Villa de Reyes; A distancia; MXN 700.000 - 1.100.000; Jornada completa

Descripción de la vacante

NTT DATA is seeking a Sr AI ML Engineer (Remote) in Mexico to design and deploy machine learning solutions that power marketing insights and customer engagement.

You will write production-grade Python, PySpark, and SQL, build data pipelines, validate models, and collaborate with data scientists and engineers in an agile setup.

This role offers remote work with potential client-site requirements and a path to advanced analytics initiatives across our Latin American operations.

Formación

• Bachelor's degree required in a quantitative field.
• 2–4 years of professional ML or data engineering experience.
• Strong Python/SQL, PySpark, and ML frameworks.
• Cloud and ML tooling experience preferred.
• Ability to communicate complex concepts clearly.

Responsabilidades

• Develop and implement ML models such as recommendation engines and segmentation.
• Collaborate with data scientists and engineers to translate requirements.
• Write production-grade Python, PySpark, SQL code.
• Build and maintain data pipelines using Spark or similar tools.
• Participate in model validation, testing, and deployment.
• Communicate findings to technical and non-technical stakeholders.
• Work in an agile environment with product managers and engineers.

Conocimientos

Python

PySpark

SQL

TensorFlow

PyTorch

AWS SageMaker

Databricks

Educación

Bachelor's degree in Data Science, CS, Engineering or related quantitative field

Herramientas

Databricks

Spark

Descripción del empleo

NTT DATA is seeking a Sr AI ML Engineer (Remote) in Mexico to design and deploy machine learning solutions that power marketing insights and customer engagement.

You will write production-grade Python, PySpark, and SQL, build data pipelines, validate models, and collaborate with data scientists and engineers in an agile setup.

This role offers remote work with potential client-site requirements and a path to advanced analytics initiatives across our Latin American operations.