Remote AI/ML Engineer – Customer Insights

Arista Networks, Inc.; Región Costa Norte; Remote; MXN 450,000 - 900,000; Full time

Job summary

NTT DATA in Guadalajara, Jalisco, is seeking a Senior AI/ML Engineer (Remote) to design and deploy scalable machine learning models that boost customer insights and business decisions.

You will implement models such as recommendation engines and customer segmentation, collaborate with data scientists and engineers, write production‑grade Python, PySpark, and SQL, and help build data pipelines with Spark or Airflow. Remote role with 2–4 years of experience in a related field.

Qualifications

• Bachelor’s degree in a quantitative field (Data Science, CS, Engineering, Math, Stats)
• 2–4 years of professional ML or data engineering experience
• Solid understanding of ML algorithms and real‑world application
• Proficiency in Python and SQL; PySpark or similar big‑data tools a plus
• Familiarity with TensorFlow or PyTorch
• Experience with cloud platforms and ML tools is preferred
• Ability to collaborate across teams and communicate technical concepts clearly

Responsibilities

• Develop and implement ML models (e.g., recommendation engines, segmentation, predictive analytics) for customer‑centric initiatives
• Collaborate with data scientists and engineers to translate business requirements into technical solutions
• Write clean, production‑quality code in Python, PySpark, and SQL
• Help build and maintain data pipelines using Spark, Airflow, or similar tools
• Participate in model validation, testing, and deployment; communicate insights to stakeholders
• Work in an agile environment with product managers, data scientists, and engineers

Skills

Python

SQL

PySpark

TensorFlow

PyTorch

Cloud platforms

Education

Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics

Tools

Spark

Airflow

AWS Sagemaker

Databricks

Job description

NTT DATA in Guadalajara, Jalisco, is seeking a Senior AI/ML Engineer (Remote) to design and deploy scalable machine learning models that boost customer insights and business decisions.

You will implement models such as recommendation engines and customer segmentation, collaborate with data scientists and engineers, write production‑grade Python, PySpark, and SQL, and help build data pipelines with Spark or Airflow. Remote role with 2–4 years of experience in a related field.