Remote ML Engineer - Customer Insights

Alten México; San Luis Potosí; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team from Mexico. You will develop scalable ML solutions to enhance customer intelligence and support decision-making.

You will work with cross-functional teams, translating business needs into production-ready models using Python, PySpark and SQL. Reporting to the Office of Data Science and Automation, you will participate in model validation, deployment, and pipeline maintenance while communicating findings clearly to stakeholders in

Formación

• Bachelor's degree in a quantitative field.
• 2–4 years in ML or data engineering.
• Solid ML algorithms understanding and real-world application.
• Proficiency in Python and SQL; PySpark or similar big-data tools a plus.
• Familiarity with TensorFlow or PyTorch.

Responsabilidades

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

Conocimientos

Python

SQL

PySpark

TensorFlow

PyTorch

Cloud ML (AWS Sagemaker)

Databricks

Big Data

Communication

Educación

Bachelor's degree in Data Science, CS, Engineering, Math, Statistics

Herramientas

Python

SQL

PySpark

TensorFlow

PyTorch

AWS Sagemaker

Databricks

Descripción del empleo

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team from Mexico. You will develop scalable ML solutions to enhance customer intelligence and support decision-making.

You will work with cross-functional teams, translating business needs into production-ready models using Python, PySpark and SQL. Reporting to the Office of Data Science and Automation, you will participate in model validation, deployment, and pipeline maintenance while communicating findings clearly to stakeholders in