Das ist der Job
Enable production workloads for AI/ML and Generative AI systems , including LLM‑based servic
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About the Role
The Platform Infrastructure team at iCapital plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably.
As a Platform Engineer , you will wear multiple hats in a highly visible role, partnering closely with engineering, security, data, and business teams to deliver secure, reliable, and highly automated platforms that support both application and machine‑learning workloads .
This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of market agility and lean operating principles , with a strong emphasis on quality to meet the ever‑growing demands of our clients.
We are seeking highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers with deep expertise in machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security .
This role requires hands‑on experience designing, building, and operating scalable DevOps and enterprise‑grade MLOps platforms , including model lifecycle automation, observability, and governance . Responsibilities Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring).