Senior AI Engineer (Remote) - ML & Data Pipelines

Agileengine, Llc.; Tijuana; Remote; MXN 800,000 - 1,200,000; Full time

Job summary

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Jalisco (MX). You will develop scalable ML models, collaborate with data scientists and engineers, and deploy production-ready code in Python, PySpark, and SQL.

You'll work in an agile environment to optimize marketing investments and customer engagement, with opportunities to utilize TensorFlow, PyTorch, and cloud services like AWS SageMaker or Databricks. Remote options may apply based on client needs.

Qualifications

• Bachelor's degree in a quantitative field.
• 2–4 years of ML or data engineering experience.
• Proficiency with Python and SQL; PySpark or similar big data tools is a plus.
• Familiarity with TensorFlow or PyTorch.
• Experience with cloud platforms and ML tools (AWS SageMaker or Databricks) preferred.

Responsibilities

• Develop and implement ML models like recommender engines and segmentation.
• Collaborate with data scientists and engineers to translate requirements into solutions.
• Write clean production-ready Python, PySpark, and SQL code.
• Build and maintain data pipelines using Spark, Airflow, or similar tools.
• Participate in model validation, testing, and deployment processes.
• Communicate findings clearly to technical and non-technical stakeholders.
• Work in an agile environment with cross-functional teams.

Skills

Python

SQL

PySpark

TensorFlow

PyTorch

AWS SageMaker

Databricks

CI/CD

GitHub

Power BI

Tableau

Automotive

Education

Bachelor's degree in Data Science/CS/Engineering/Math/Stats

Job description

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Jalisco (MX). You will develop scalable ML models, collaborate with data scientists and engineers, and deploy production-ready code in Python, PySpark, and SQL.

You'll work in an agile environment to optimize marketing investments and customer engagement, with opportunities to utilize TensorFlow, PyTorch, and cloud services like AWS SageMaker or Databricks. Remote options may apply based on client needs.