Continuous Improvement Engineer

Tria Technologies Gmbh; Tlaquepaque; À distance; MXN 850 000 - 1 200 000; Plein temps

Résumé du poste

NTT DATA is seeking a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Jalisco, Mexico. You will develop scalable ML solutions, collaborate with cross-functional teams, and deploy models to optimize marketing investments and customer engagement.

Responsibilities include building models, data pipelines, and validating deployments, with a focus on production-quality Python, PySpark, and SQL code. The role offers remote work from MX and requires strong ML fundamentals.

Qualifications

• 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.

Responsabilités

• 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.

Formation

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

Outils

Python

SQL

PySpark

TensorFlow

PyTorch

AWS Sagemaker

Databricks

Description du poste

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

We are currently seeking a Sr AI ML Engineer (Remote) to join our team in Guadalajara, Jalisco (MX-JAL), Mexico (MX).

Who we're looking for

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. 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