Senior ML Engineer (Remote) for Customer Insights

Wabtec Corporation; San Luis Potosí; Hybride; MXN 600 000 - 900 000; Plein temps

Résumé du poste

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join the OneTech Data team in Guadalajara, MX. You will design and deploy scalable ML solutions to boost marketing ROI and customer engagement, collaborating across data science, engineering, and product teams.

Responsibilities include building models, pipelines, and validating deployments while communicating insights to diverse stakeholders. The role emphasizes Python, PySpark, SQL, and cloud-based ML tools, with remote/hybrid work options

Qualifications

• Bachelor's degree in a quantitative field and 2–4 years of professional ML or data engineering experience.
• Solid understanding of ML algorithms and applying them to real-world problems.
• Proficiency in Python and SQL; PySpark or similar big-data tools are a plus.

Responsabilités

• Develop and implement ML models such as recommender engines, customer segmentation, and predictive analytics.
• Collaborate with data scientists and engineers to translate business requirements into technical solutions.
• Write clean, 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 with product managers, data scientists, and engineers to deliver data-driven products.

Connaissances

Python

SQL

PySpark

TensorFlow

PyTorch

Cloud platforms

Data pipelines

Agile

Communication

Formation

Bachelor's degree in data science or related field

Outils

Databricks

Spark

Airflow

Description du poste

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join the OneTech Data team in Guadalajara, MX. You will design and deploy scalable ML solutions to boost marketing ROI and customer engagement, collaborating across data science, engineering, and product teams.

Responsibilities include building models, pipelines, and validating deployments while communicating insights to diverse stakeholders. The role emphasizes Python, PySpark, SQL, and cloud-based ML tools, with remote/hybrid work options