Remote AI/ML Engineer - Translation & Data Models

Cactus Communications; Región Centro; A distancia; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

NTT DATA in Guadalajara, MX is seeking a Sr AI ML Engineer (Remote) to join the team building scalable ML solutions for customer intelligence and marketing optimization. You will translate business needs into production-ready models and collaborate with cross-functional teams.

The role requires 2–4 years in ML or data engineering, strong Python and SQL, and experience with PySpark. Familiarity with TensorFlow or PyTorch and cloud ML tools like AWS SageMaker is a plus.

Formación

• Bachelor's degree in data-related field.
• 2–4 years of professional ML or data engineering experience.
• Strong knowledge of ML algorithms and real-world applications.
• Proficiency in Python and SQL; PySpark experience is a plus.
• Familiarity with TensorFlow or PyTorch.
• Experience with cloud platforms and ML tools like AWS Sagemaker.

Responsabilidades

• Develop and implement ML models such as recommender engines and segmentation.
• Collaborate with data scientists and engineers to translate requirements.
• Write production-quality Python, SQL, and Spark code.
• Build and maintain data pipelines and workflows.
• Participate in model validation, testing, and deployment.
• Communicate findings to technical and non-technical stakeholders.

Conocimientos

Python

SQL

PySpark

TensorFlow

PyTorch

AWS Sagemaker

Machine Learning

Cloud platforms

Educación

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

Herramientas

Airflow

Spark

Descripción del empleo

NTT DATA in Guadalajara, MX is seeking a Sr AI ML Engineer (Remote) to join the team building scalable ML solutions for customer intelligence and marketing optimization. You will translate business needs into production-ready models and collaborate with cross-functional teams.

The role requires 2–4 years in ML or data engineering, strong Python and SQL, and experience with PySpark. Familiarity with TensorFlow or PyTorch and cloud ML tools like AWS SageMaker is a plus.