Remote ML Engineer: Customer Data & Insights

Sitetracker; Santiago de Querétaro; A distancia; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team in Mexico. You will develop scalable ML solutions, translate business requirements into technical implementations, and deploy models for customer intelligence and marketing optimization.

You will collaborate with data scientists and engineers, write production-grade Python and SQL, and maintain data pipelines using Spark/Airflow. This role emphasizes agile delivery and effective communication with stakeholders.

Formación

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related quantitative field.

Responsabilidades

• Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives.
• Collaborate with data scientists and engineers to translate business requirements into technical solutions.
• Write clean, maintainable, and production-quality code primarily in Python, PySpark, and SQL.
• Assist in building and maintaining data pipelines and workflows using Spark, Airflow, or similar tools.
• Participate in model validation, testing, and deployment processes.
• Communicate findings and model insights effectively to both technical and non-technical stakeholders.
• Work in an agile environment alongside product managers, data scientists, and engineers to deliver data-driven products.

Conocimientos

Python

SQL

PySpark

TensorFlow

PyTorch

Cloud platforms

CI/CD

GitHub

Data modeling

Communication

Educación

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related quantitative field

Herramientas

Databricks

AWS Sagemaker

Spark

Airflow

Descripción del empleo

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team in Mexico. You will develop scalable ML solutions, translate business requirements into technical implementations, and deploy models for customer intelligence and marketing optimization.

You will collaborate with data scientists and engineers, write production-grade Python and SQL, and maintain data pipelines using Spark/Airflow. This role emphasizes agile delivery and effective communication with stakeholders.