Ai/ml/llm systems engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78euki

This role is based in Saudi Arabia on a permanent, residential basis. Overview We are seeking an AI/ML/LLM Systems Engineer to join our Digital & AI Center of Excellence and contribute to the development of enterprise‐scale AI platforms that support advanced machine learning and language model inference across Saudi Aramco's operations. The Digital & AI Center of Excellence is responsible for delivering scalable, secure, and high‐performance AI/ML/LLM systems that drive innovation and operational efficiency. In this role, you will design and maintain infrastructure for deploying and optimizing large language models and vision models, hosted on NVIDIA Super Pods/Cloud and containerized environments. Your primary responsibility is to ensure the efficient and scalable operation of AI models within enterprise platforms, deploying, monitoring, and optimizing inference workloads, integrating vector and relational databases, and implementing orchestration and Dev Ops pipelines to support continuous model improvement and delivery.



Duties & Responsibilities Deploy and manage LLMs and vision models on NVIDIA Super Pods, Cloud, ensuring high performance and efficient use of GPU resources. Build and maintain scalable inference pipelines using Kubernetes (K8s), Docker, and Open Shift for enterprise AI platforms. Optimize inference performance through multiple techniques. Benchmark and evaluate LLMs for performance, accuracy, latency, and resource utilization across different hardware and software configurations. Implement and support LLMOps frameworks with full observability, including logging, tracing, and model performance tracking. Integrate and manage vector databases (Elasticsearch) and relational databases (Postgre SQL) for efficient data retrieval and user interaction history tracking. Implement and maintain CI/CD (Continuous Integration/Continuous Delivery) pipelines for model and platform updates using Git, Bitbucket, Jenkins, and Argo CD. Ensure high availability and r

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78euki