Senior Platform Engineer (MLOps)

August 5

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Bumble Inc.

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Our mission is to create a world where all relationships are healthy and equitable, through Kind Connections.

501 - 1000

Description

• Maintain and improve the MLOps platform allowing us to serve predictions at massive scale and iterate faster on all our models • Administer and manage the GPU-powered MLOps Kubernetes clusters • Be part of the on call rota to support smooth operation of the MLOps platform and the health of all our ML services • Improve the MLOps platform in terms of processes, performance and testing • Research and experiment with the latest MLOps technologies and inference frameworks to unlock capabilities for all ML engineers in the company • Support the efforts of ML engineering and product teams • Mentor and coach team members on DevOps and ML engineering best practices

Requirements

• Deep understanding of Kubernetes infrastructure and experience administering GPU enabled Kubernetes clusters at scale • Experience working with Docker and containerised applications • Experience with at least one programming language such as Python, Golang etc. • Experience with CI/CD tooling such as ArgoCD, GitHub Actions etc. • Experience configuring and maintaining monitoring systems such as Grafana, Prometheus etc. • Experience with IaC tooling, e.g. Terraform • Comfortable in reacting to incidents and be part of an on call rotation • Good understanding of machine learning model development life cycle processes and tools: ML model development and experimentation, training pipelines, model serving and monitoring • Ability to work collaboratively and proactively in a fast-paced environment alongside engineers, scientists and non-technical stakeholders • A passion for keeping up with the latest ongoings in DevOps and MLOps communities • A curious mind, self-starter and endlessly keen to learn and develop themselves professionally