Senior MLOps Engineer (ML Workflows Engineering)

Responsibilities

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.

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