ML/GenAI Engineer (N)

Sanmina; Región Centro; Presencial; MXN 420.000 - 640.000; Jornada completa

Descripción de la vacante

Sanmina is seeking a Software Engineer (Systems) 2 to advance machine learning workflows across cloud and on-prem environments. The role emphasizes statistical analysis, predictive modeling, and scalable data handling. You will work with Vertex AI Pipelines and NVIDIA acceleration tools to deploy optimized models.

The candidate should have hands-on experience with ML in production, deep learning models, and generative AI capabilities to integrate seamlessly with NVIDIA GPUs and cloud endpoints.

Formación

• Experience applying statistical analysis and predictive modeling to real-world problems.
• Strong SQL skills and experience with large, complex datasets.
• Proven experience building and deploying machine learning pipelines in a production environment.

Conocimientos

Statistical analysis

Predictive modeling

SQL

Production ML pipelines

Herramientas

Vertex AI Pipelines

NVIDIA TensorRT

Vertex AI Endpoints

NVIDIA NIM

Descripción del empleo

Job Description

Software Engineer (Systems) 2

Proven experience applying statistical analysis and predictive modeling to solve real-world problems.

Strong SQL skills and experience working with large, complex datasets.

Proven experience building and deploying machine learning pipelines in a production environment. 1

In-depth knowledge of machine learning, deep learning, and generative AI models.

Creates and orchestrates complex machine learning workflows using Vertex AI Pipelines, automating steps from data validation to model deployment. 11

Uses NVIDIA TensorRT to compile and optimize models for high-performance inference on specific NVIDIA GPUs, leveraging techniques such as quantization and layer fusion. 34

Deploys models as scalable services, using Vertex AI Endpoints for seamless integration with GCP or NVIDIA NIM (NVIDIA Inference Microservices) for a flexible, container-based approach capable of running in cloud and on-premises environments.