Quality Systems Engineer

Stoneridge; Región Centro; Híbrido; MXN 700.000 - 1.200.000; Jornada completa

Descripción de la vacante

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).

You will contribute to building scalable machine learning solutions that enhance customer intelligence, support business decision-making, and help deliver data-driven products. Reporting to the Customer Data Science Manager at the Office of Data Science and Automation, you will

Responsabilidades

• Develop ML 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 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

PySpark

SQL

Machine Learning

Data pipelines

Herramientas

Spark

Airflow

Descripción del empleo

Req ID:

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward‑thinking organization.

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 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.