Senior ML Engineer - Remote AI for Customer Insights

Continental Industry

San Luis Potosí

A distancia

MXN 800.000 - 1.400.000

Jornada completa

14 días+
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Descripción de la vacante

NTT DATA seeks a Sr AI ML Engineer (Remote) to join its team in Guadalajara, Jalisco, MX. You will develop scalable ML models to enhance customer intelligence and support strategic decision making, collaborating with data scientists and engineers.

Role involves translating business requirements into technical solutions, building data pipelines with Spark and Airflow, and delivering production-quality code in Python and SQL. Prior ML experience and cloud familiarity preferred.

Formación

  • Degree in a quantitative field such as data science or CS.
  • 2–4 years of ML or data engineering experience.
  • Strong Python/SQL skills and experience with PySpark.
  • Knowledge of ML frameworks (TensorFlow/PyTorch).

Responsabilidades

  • Develop and deploy scalable ML models for customer intelligence.
  • Collaborate with cross-functional teams to translate requirements.
  • Build production code in Python, PySpark, and SQL.
  • Maintain data pipelines with Spark or Airflow.
  • Contribute to model validation and deployment processes.
  • Communicate insights to technical and non-technical audience.
  • Work in an agile environment with product managers and engineers.

Conocimientos

Python
SQL
PySpark
Machine Learning
Communication

Educación

Bachelor's degree in Data Science, CS, Engineering, Mathematics or related field

Herramientas

Spark
Airflow
Databricks
GitHub

Descripción del empleo

NTT DATA seeks a Sr AI ML Engineer (Remote) to join its team in Guadalajara, Jalisco, MX. You will develop scalable ML models to enhance customer intelligence and support strategic decision making, collaborating with data scientists and engineers.

Role involves translating business requirements into technical solutions, building data pipelines with Spark and Airflow, and delivering production-quality code in Python and SQL. Prior ML experience and cloud familiarity preferred.

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