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 versátil, container-based approach capable of running in cloud and on-premises environments.

📌 ML/GenAI Engineer (N) (Ixtlahuacán de los Membrillos)
🏢 Sanmina
📍 Ixtlahuacán de los Membrillos