Ehs Engineer Bilingual

Terrepower; Región Centro; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

NTT DATA in Mexico is seeking a Sr AI ML Engineer (Remote) to join Toyota's OneTech Data initiative in Guadalajara. You will help build scalable machine learning solutions to enhance customer insights and business decisioning.

You’ll develop models such as recommendations, segmentation, and predictive analytics; translate business needs into technical solutions with cross‑functional teams; and write production‑quality Python, PySpark and SQL code while building data pipelines with Spark or

Formación

• Experience translating business requirements into technical solutions.
• Production‑quality coding in Python, PySpark and SQL.
• Ability to collaborate with data scientists and engineers across teams.

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 the ongoing enhancement of ML systems and data infrastructure.

Conocimientos

Cross-functional collaboration

Advanced analytics

Herramientas

Python

PySpark

SQL

Spark

Airflow

Descripción del empleo

Req ID:

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

We are currently seeking a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Jalisco (MX-JAL), Mexico (MX).

Who we're looking for

Toyota's OneTech Data department is seeking a motivated Machine Learning Engineer to contribute to building scalable machine learning solutions that enhance customer intelligence and support business decision-making.

Reporting to the Customer Data Science Manager at the Office of Data Science and Automation, you will collaborate with cross-functional teams to develop and deploy machine learning models that optimize marketing investments and improve customer engagement.

What you'll be doing

• 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