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AI Engineer Senior Advisor

Mexico, Guadalajara Employment contract · Job Posted May 04, 2026
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Job Description

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Job Responsibility

  • 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

Requirements

  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
  • 2-4 years of professional experience in machine learning or data engineering roles
  • Solid understanding of machine learning algorithms and experience applying them to real-world problems
  • Proficiency in Python and SQL
  • experience with PySpark or similar big data tools is a plus
  • Familiarity with machine learning frameworks such as TensorFlow or PyTorch
  • Experience with cloud platforms and ML tools like AWS Sagemaker or Databricks preferred but not required
  • Ability to work collaboratively in a team and communicate technical concepts clearly

Nice to have

  • Experience deploying machine learning models in production environments
  • Exposure to CI/CD pipelines and version control systems like GitHub
  • Knowledge of data visualization tools such as Power BI or Tableau
  • Interest or experience in the automotive industry

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