Senior AI/ML Engineer - Remote Data-Driven Solutions

Autoliv Mexico; San Luis Potosí; A distancia; MXN 600.000 - 1.000.000; Jornada completa

Descripción de la vacante

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team. You will develop scalable ML models and collaborate with cross-functional teams to drive data-driven decisions.

You'll write clean, production-ready Python, PySpark, and SQL code and help deploy models in a modern data pipeline environment. Remote opportunity with potential for in-office collaboration based on client needs.

Formación

• Bachelor's degree in a quantitative field.
• 2-4 years of professional ML or data engineering experience.
• Strong knowledge of ML algorithms and applying them to real-world problems.
• Proficiency in Python and SQL; PySpark or similar is a plus.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Experience with cloud platforms/ML tools like AWS Sagemaker or Databricks preferred but not required.

Responsabilidades

• Develop and implement ML models (e.g., recommendation engines, customer segmentation, predictive analytics).
• Collaborate with data scientists and engineers to translate business requirements into solutions.
• Write production-quality code in Python, PySpark, and SQL.
• Build and maintain data pipelines using Spark, Airflow, or similar tools.
• Participate in model validation, testing, and deployment processes.
• Communicate findings to technical and non-technical stakeholders.
• Work in an agile environment with product managers and engineers.

Conocimientos

Python

SQL

PySpark

TensorFlow

PyTorch

AWS Sagemaker/Databricks

Airflow

Data pipelines

Agile

Communication

Educación

Bachelor's in Data Science/CS/Engineering/Math/Statistics

Herramientas

Spark

Airflow

GitHub

Descripción del empleo

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team. You will develop scalable ML models and collaborate with cross-functional teams to drive data-driven decisions.

You'll write clean, production-ready Python, PySpark, and SQL code and help deploy models in a modern data pipeline environment. Remote opportunity with potential for in-office collaboration based on client needs.