NTT DATA
Sr AI ML Engineer (Guadalajara, JAL, MX)
Remote Senior AI ML Engineer role with clear candidate location fit.
PostedJul 19, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Mexico
Role overview
Sr AI ML Engineer (Guadalajara, JAL, MX)
Requirements and responsibilities
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What you’ll be doing
- 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.
What you bring
- 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.
Added bonus if you 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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