Operations Associate - System Admin & Ai

Sitetracker; Hermosillo; A distancia; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

NTT DATA seeks a Sr AI ML Engineer (Remote) to join the team and develop scalable ML solutions in a data-driven, agile environment. The role emphasizes building recommendation engines, customer segmentation, and predictive analytics to optimize marketing investments and engagement.

You will collaborate with cross-functional teams, translate business requirements into technical solutions, and maintain production-grade code using Python, PySpark, and SQL.

Formación

• Bachelor's degree in a quantitative field.
• 2-4 years of professional ML or data engineering experience.
• Proficiency in Python and SQL; PySpark experience preferred.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Familiarity with cloud platforms and ML tools like AWS Sagemaker or Databricks.

Responsabilidades

• Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives.
• Collaborate with data scientists and engineers to translate business requirements into technical solutions.
• Write clean, production-quality code primarily in Python, PySpark, and SQL.
• Assist in building and maintaining data pipelines and workflows using Spark, Airflow, or similar tools.
• Participate in model validation, testing, and deployment processes.
• Communicate findings and model insights effectively to both technical and non-technical stakeholders.
• Work in an agile environment alongside product managers, data scientists, and engineers to deliver data-driven products.

Conocimientos

Python

SQL

PySpark

TensorFlow

PyTorch

AWS Sagemaker

Databricks

Communication

Educación

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

Herramientas

Spark

Airflow

Descripción del empleo

Sr AI ML Engineer (Remote) – Guadalajara, Jalisco (MX-JAL), Mexico (MX)

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

Toyota's OneTech Data department is seeking a motivated Machine Learning Engineer to contribute to building scalable machine learning solutions that enhance customer intelligence and support business decision-making.

Who we're looking for

Reporting to the Customer Data Science Manager at the Office of Data Science and Automation, you will collaborate with cross-functional teams to develop and deploy machine learning models that optimize marketing investments and improve customer engagement.

What you'll be doing

• Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives.
• Collaborate with data scientists and engineers to translate business requirements into technical solutions.
• Write clean, maintainable, and production-quality code primarily in Python, PySpark, and SQL.
• Assist in building and maintaining data pipelines and workflows using Spark, Airflow, or similar tools.
• Participate in model validation, testing, and deployment processes.
• Communicate findings and model insights effectively to both technical and non-technical stakeholders.
• Work in an agile environment alongside product managers, data scientists, and engineers to deliver data-driven products.

What you bring

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related quantitative field.
• 2-4 years of professional experience in machine learning or data engineering roles.
• Solid understanding of machine learning algorithms and experience applying them to real-world problems.
• Proficiency in Python and SQL; experience with PySpark or similar big data tools is a plus.
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Experience with cloud platforms and ML tools like AWS Sagemaker or Databricks preferred but not required.
• Ability to work collaboratively in a team and communicate technical concepts clearly