Consulting Systems Engineer

Fortinet; Tijuana; A distancia; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

NTT DATA seeks a Sr AI ML Engineer (Remote) to join the team in Guadalajara, Mexico. The role focuses on building scalable ML solutions that enhance customer intelligence and support business decisions.

You will collaborate with data scientists and engineers to deploy models that optimize marketing investments and improve customer engagement, using Python, PySpark, SQL, and Spark-based pipelines in an agile environment.

Formación

• Develop and deploy ML models for marketing and customer intelligence.
• Translate business requirements into technical ML solutions.
• Write maintainable production code in Python, PySpark, SQL.
• Build and maintain data pipelines with Spark/Airflow or similar.
• Participate in model validation, testing, and deployment processes.
• Communicate insights to technical and non-technical stakeholders.

Responsabilidades

• Develop and implement machine-learning models such as recommendation engines and customer segmentation.

Conocimientos

Machine Learning

Python

Herramientas

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. 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.