Quality Engineer

Grupo Pesado Castro; Villa de Reyes; A distancia; MXN 700.000 - 1.100.000; Jornada completa

Descripción de la vacante

NTT DATA is seeking a Sr AI ML Engineer (Remote) in Mexico to design and deploy machine learning solutions that power marketing insights and customer engagement.

You will write production-grade Python, PySpark, and SQL, build data pipelines, validate models, and collaborate with data scientists and engineers in an agile setup.

This role offers remote work with potential client-site requirements and a path to advanced analytics initiatives across our Latin American operations.

Formación

• Bachelor's degree required in a quantitative field.
• 2–4 years of professional ML or data engineering experience.
• Strong Python/SQL, PySpark, and ML frameworks.
• Cloud and ML tooling experience preferred.
• Ability to communicate complex concepts clearly.

Responsabilidades

• Develop and implement ML models such as recommendation engines and segmentation.
• Collaborate with data scientists and engineers to translate requirements.
• Write production-grade Python, PySpark, SQL code.
• Build and maintain data pipelines using Spark or similar tools.
• Participate in model validation, testing, and deployment.
• Communicate findings to technical and non-technical stakeholders.
• Work in an agile environment with product managers and engineers.

Conocimientos

Python

PySpark

SQL

TensorFlow

PyTorch

AWS SageMaker

Databricks

Educación

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

Herramientas

Databricks

Spark

Descripción del empleo

Req ID: NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, we are currently seeking a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Jalisco (MX-JAL), Mexico (MX).

Who we're looking for

Toyota's OneTech Data department is seeking a motivated Machine Learning Engineer to contribute to building scalable machine learning solutions that enhance customer intelligence and support business decision‑making.

Reporting to the Customer Data Science Manager at the Office of Data Science and Automation, you will collaborate with cross‑functional teams to develop and deploy machine learning models that optimize marketing investments and improve customer engagement.

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.

#LI-LATAM

About NTT DATA

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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the