Murex Technical Engineer

Luxoft; Región Centro; Híbrido; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Luxoft is seeking a Senior AI ML Engineer to join our team remotely from Guadalajara, Jalisco, MX. This role focuses on developing scalable machine-learning solutions to enhance customer intelligence and support business decision-making.

You will collaborate with cross-functional teams, translate business requirements into technical solutions, and deploy models that optimize marketing investments and customer engagement.

Formación

• Proficient in Python, PySpark, and SQL.
• Experience building ML models and data pipelines.
• Ability to work in an Agile environment.

Responsabilidades

• Develop ML models such as recommendation engines and customer segmentation.
• Translate business requirements into technical solutions with teammates.
• Write clean, production-quality Python, PySpark, and SQL code.
• Build and maintain data pipelines with Spark, Airflow, or similar tools.
• Participate in model validation, testing, and deployment.
• Communicate model insights to technical and non-technical stakeholders.
• Work in an agile environment with product managers and engineers.

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. 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.