Senior Software Engineer (MLOps) – Serving
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仕事内容
Architect and build scalable ML/LLM model-serving systems across data centers with strong SLAs, observability, and reliability.
Design and optimize Ray-based inference infrastructure to handle both low- and high-throughput workloads.
Enable applied scientists to deploy and test models via self-service tools, CI/CD pipelines, and rollback mechanisms.
Implement A/B testing and shadow deployment capabilities to evaluate new model versions in production.
Collaborate with platform teams to improve GPU provisioning, traffic routing, and runtime performance.
Instrument inference workflows with telemetry (latency, token counts, errors) to drive performance and safety analysis.
Design and optimize Ray-based inference infrastructure to handle both low- and high-throughput workloads.
Enable applied scientists to deploy and test models via self-service tools, CI/CD pipelines, and rollback mechanisms.
Implement A/B testing and shadow deployment capabilities to evaluate new model versions in production.
Collaborate with platform teams to improve GPU provisioning, traffic routing, and runtime performance.
Instrument inference workflows with telemetry (latency, token counts, errors) to drive performance and safety analysis.
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? Data Engineer spécialisé en Intelligence Artificielle ? Stage de fin d'études – Court-Saint-Étienne ? Stage en développement commercial et data analysis ? Stage en gestion des connaissances et intelligence artificielle ? Chargé(e) de communication digitale et contenu IA ? Développeur IA Python Junior – Namur