Senior / Staff MLOps Engineer (Bangkok based, relocation provided)
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Die Stelle
Lead the design, development, and deployment of on-prem MLOps solutions that enable reliable delivery of machine learning models.
Collaborate with data scientists and software engineers to build scalable data pipelines, training workflows, and deployment systems.
Develop and maintain monitoring and management tools to ensure the reliability and performance of the MLOps infrastructure.
Engage with stakeholders to understand ML needs and translate them into practical, scalable MLOps solutions.
Stay up-to-date with the latest trends in MLOps, LLMOps, ML platforms, and AI, sharing knowledge across the team.
Mentor junior engineers and handle troubleshooting to improve system usability and user experience.
Collaborate with data scientists and software engineers to build scalable data pipelines, training workflows, and deployment systems.
Develop and maintain monitoring and management tools to ensure the reliability and performance of the MLOps infrastructure.
Engage with stakeholders to understand ML needs and translate them into practical, scalable MLOps solutions.
Stay up-to-date with the latest trends in MLOps, LLMOps, ML platforms, and AI, sharing knowledge across the team.
Mentor junior engineers and handle troubleshooting to improve system usability and user experience.
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