Senior AI/ML Engineer (Remote) — Customer Insights & Modeling

NTT DATA, Inc.

Región Centro

A distancia

MXN 600.000 - 900.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

NTT DATA, Inc. is seeking a Sr AI ML Engineer to join our Guadalajara team on a remote basis. You will develop scalable machine learning solutions that enhance customer intelligence and support business decisions.

You will write production-grade Python, PySpark, and SQL code, build data pipelines, and collaborate with data scientists in an agile environment to deliver data-driven products.

Formación

  • Bachelor's degree in a quantitative field such as data science, CS, engineering, math, or statistics.
  • 2-4 years of professional ML or data engineering experience.
  • Solid understanding of ML algorithms and real-world applicability.
  • Proficiency in Python and SQL; PySpark or similar big data tooling is a plus.
  • Familiarity with TensorFlow or PyTorch.
  • Experience with cloud ML tools like AWS SageMaker or Databricks preferred.
  • Ability to collaborate in a team and communicate technical concepts clearly.

Responsabilidades

  • Develop and implement ML models such as recommendation engines and predictive analytics.
  • Collaborate with data scientists and engineers to translate business needs into solutions.
  • Write production-grade Python, PySpark, and SQL code.
  • Build and maintain data pipelines and workflows using Spark, Airflow, or similar tools.
  • Participate in model validation, testing, and deployment processes.
  • Communicate findings and model insights to technical and non-technical stakeholders.
  • Work in an agile environment to deliver data-driven products.

Conocimientos

Python
SQL
TensorFlow
PyTorch
Communication

Educación

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics

Herramientas

PySpark
Databricks
AWS SageMaker

Descripción del empleo

NTT DATA, Inc. is seeking a Sr AI ML Engineer to join our Guadalajara team on a remote basis. You will develop scalable machine learning solutions that enhance customer intelligence and support business decisions.

You will write production-grade Python, PySpark, and SQL code, build data pipelines, and collaborate with data scientists in an agile environment to deliver data-driven products.

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