Lead AI/ML Engineer — Autonomous Agents (Remote)

EPAM Systems; Candelaria; Remote; MXN 600,000 - 900,000; Full time

Job summary

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Mexico. You will build scalable ML models to boost customer insights and guide marketing investments, while collaborating with cross-functional teams.

You will implement production-grade Python, PySpark, and SQL, and contribute to data pipelines, validation, and deployment. Strong communication and teamwork are essential in our agile environment.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, CS, Eng, Math, Stats).
• 2–4 years of professional ML or data engineering experience.
• Strong Python and SQL; PySpark or similar big data tools a plus.
• Familiarity with TensorFlow or PyTorch is desirable.
• Experience with cloud ML tools like AWS Sagemaker or Databricks preferred.

Responsibilities

• Develop and deploy ML models such as recommendations, segmentation, and predictive analytics.
• Collaborate with data scientists and engineers to translate business needs into tech solutions.
• Write clean, production-grade Python, PySpark, and SQL code.
• Build and maintain data pipelines and workflows using Spark, Airflow, or similar tools.
• Contribute to model validation, testing, and deployment processes.
• Communicate findings and insights to technical and non-technical stakeholders.
• Work in an agile setup with product managers and engineers to deliver data-driven products.

Skills

Python

SQL

PySpark

TensorFlow/PyTorch

Cloud platforms (AWS Sagemaker/Databr

Communication skills

Education

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

Tools

PySpark

Spark

Databricks

AWS Sagemaker

Job description

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Mexico. You will build scalable ML models to boost customer insights and guide marketing investments, while collaborating with cross-functional teams.

You will implement production-grade Python, PySpark, and SQL, and contribute to data pipelines, validation, and deployment. Strong communication and teamwork are essential in our agile environment.