Senior ML Solutions Architect: End-to-End Production AI

Nodi; Ciudad de México; On-site; MXN 900,000 - 1,500,000; Full time

Job summary

Nodi is seeking a senior Solutions Architect to lead the design, development, deployment, and optimization of production-grade machine learning models and solutions. You will bridge data science and engineering, ensuring scalable, secure, and maintainable ML systems in a fast-moving environment.

Ideal candidates will guide model development, evaluation, deployment, monitoring, and production support while mentoring teams and driving best practices in ML engineering and MLOps across projects.

Qualifications

• Senior technical leader with hands-on ML experience.
• Proven ability to design end-to-end ML architectures.
• Experience delivering production-grade ML systems.
• Strong collaboration with data scientists and engineers.

Responsibilities

• Lead end-to-end ML solution architecture from data ingest to deployment.
• Develop and optimize ML models using Python and ML frameworks.
• Design reliable data pipelines and feature stores for training and inference.
• Define evaluation strategies and monitoring for production models.
• Oversee CI/CD/CT pipelines and model registry adoption.

Skills

Python

ML frameworks

Data pipelines

Leadership

Cloud & MLOps

Tools

MLflow

Weights & Biases

Airflow

Kubernetes

Docker

Spark/Databricks

Job description

Nodi is seeking a senior Solutions Architect to lead the design, development, deployment, and optimization of production-grade machine learning models and solutions. You will bridge data science and engineering, ensuring scalable, secure, and maintainable ML systems in a fast-moving environment.

Ideal candidates will guide model development, evaluation, deployment, monitoring, and production support while mentoring teams and driving best practices in ML engineering and MLOps across projects.