Senior AI/ML Engineer — Remote, Data-Driven Solutions

Intuitive; Mexicali; Remote; MXN 900,000 - 1,500,000; Full time

Job summary

NTT DATA is seeking a Sr AI ML Engineer (Remote) to develop scalable ML models and data pipelines in a cloud‑minded environment. You will translate business needs into data‑driven solutions, collaborate with cross‑functional teams, and contribute to model validation and deployment.

Ideal candidates have 2–4 years of ML or data engineering experience, strong Python/SQL skills, and familiarity with PySpark, TensorFlow or PyTorch. Remote work arrangements may vary by client requirements.

Qualifications

• Bachelor's degree in a quantitative field and 2‑4 years in ML or data engineering.
• Proficient in Python and SQL; PySpark or similar big data tools a plus.
• Strong understanding of ML algorithms and real‑world application.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Familiarity with cloud ML tools and building scalable data pipelines.

Responsibilities

• Develop and implement ML models (e.g., recommender systems, segmentation, predictive analytics).
• Collaborate with data scientists and engineers to translate requirements into practical solutions.
• Write clean, production‑grade Python, PySpark, and SQL code.
• Contribute to data pipelines and workflows using Spark or similar tools.
• Participate in model validation, testing, and deployment; communicate insights to stakeholders.

Skills

Python

SQL

Machine Learning

Big Data Tools

Cloud Platforms

Communication

Education

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

Tools

PySpark

TensorFlow

PyTorch

AWS SageMaker

Databricks

Job description

NTT DATA is seeking a Sr AI ML Engineer (Remote) to develop scalable ML models and data pipelines in a cloud‑minded environment. You will translate business needs into data‑driven solutions, collaborate with cross‑functional teams, and contribute to model validation and deployment.

Ideal candidates have 2–4 years of ML or data engineering experience, strong Python/SQL skills, and familiarity with PySpark, TensorFlow or PyTorch. Remote work arrangements may vary by client requirements.