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

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📌 ML/GenAI Engineer (N) (Centro)
🏢 Sanmina
📍 Centro