Remote Sr AI/ML Engineer — Data-Driven Solutions

Siemens; Guanajuato; Remote; MXN 900,000 - 1,200,000; Full time

Job summary

NTT DATA seeks a Sr AI ML Engineer (Remote) to develop scalable ML solutions that optimize marketing investments and customer engagement. You will collaborate with cross-functional teams to deploy models in production and translate business requirements into technical deliverables.

The role emphasizes strong Python/SQL proficiency, PySpark experience, and familiarity with frameworks like TensorFlow or PyTorch, with cloud-tool exposure and a remote-friendly setup.

Qualifications

• Bachelor's degree in a quantitative field.
• 2–4 years of professional ML or data-engineering experience.
• Proficiency in Python and SQL; PySpark or similar big data tools is a plus.
• Familiarity with ML frameworks such as TensorFlow or PyTorch.
• Experience with cloud platforms and ML tools preferred but not required.

Responsibilities

• Develop and implement ML models (recommendations, segmentation, predictive analytics) for customer-centric initiatives.
• Collaborate with data scientists and engineers to translate business requirements into solutions.
• Write clean, production-grade Python, PySpark, and SQL code.
• Help build and maintain data pipelines and workflows using Spark, Airflow, or similar tools.
• Participate in model validation, testing and deployment processes.
• Communicate findings and model insights to technical and non-technical stakeholders.

Skills

Python

PySpark

SQL

TensorFlow

PyTorch

AWS SageMaker

Databricks

Airflow

Cloud platforms

Model deployment

Education

Bachelor's degree in Data Science

Tools

PySpark

TensorFlow

PyTorch

AWS SageMaker

Databricks

Apache Airflow

Job description

NTT DATA seeks a Sr AI ML Engineer (Remote) to develop scalable ML solutions that optimize marketing investments and customer engagement. You will collaborate with cross-functional teams to deploy models in production and translate business requirements into technical deliverables.

The role emphasizes strong Python/SQL proficiency, PySpark experience, and familiarity with frameworks like TensorFlow or PyTorch, with cloud-tool exposure and a remote-friendly setup.