Senior AI/ML Engineer (Remote) - Customer Intelligence

Ericsson AB

México

Remote

MXN 400,000 - 800,000

Full time

2 days ago
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Benefits offered by this job

Remote work

Job summary

NTT DATA seeks a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Jalisco (MX). You will develop scalable ML models for customer intelligence and business decision support, collaborating with cross-functional teams to deploy production-ready solutions.

You will write Python, PySpark, and SQL code, help build data pipelines, and participate in model validation and deployment in an agile setting. Domestic remote work options may apply.

Qualifications

  • 2-4 years of professional experience in machine learning or data engineering.
  • Proficiency in Python and SQL; experience with PySpark.
  • Familiarity with TensorFlow or PyTorch.
  • Experience with cloud platforms and ML tools is preferred.

Responsibilities

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

Skills

Python
SQL
PySpark
ML frameworks
Cloud platforms

Education

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

Tools

Databricks
AWS Sagemaker

Job description

NTT DATA seeks a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Jalisco (MX). You will develop scalable ML models for customer intelligence and business decision support, collaborating with cross-functional teams to deploy production-ready solutions.

You will write Python, PySpark, and SQL code, help build data pipelines, and participate in model validation and deployment in an agile setting. Domestic remote work options may apply.

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