Machine Learning Engineer

We are hiring a Machine Learning Engineer for a technology client on a yearly renewable contract role. The team is building cutting-edge tools and infrastructure to drive innovation and automation throughout the organisation. In this role, you will contribute to the creation of a new compute layer using Ray and help drive the set-up of the infrastructure for Ray on Kubernetes and its integration with the existing data system. What you’ll do: Deliver high-quality AI infrastructure solutions: You will work with the Machine Learning Platform team to design and develop the infrastructure to support Ray for distributed data processing and model training. You will develop using GitOps to ensure the reproducibility of the system’s cloud infrastructure on different Kubernetes clusters. Develop observability solutions for Ray: You will be responsible for developing and integrating monitoring and alerting within the client’s monitoring stack powered by Datadog, Prometheus, and Grafana. You will also contribute to the creation of runbooks and DevOps guides. Support the data science community in adopting Ray: You will work with our product team to socialise Ray’s use. You will be responsible for supporting users in running their jobs on the Ray clusters. What you’ll need: In-depth knowledge of ML-OPS with a solid understanding of distributed computing for data processing. Knowledge of Ray is preferable, but other frameworks, such as Dask, Modin, Beam, Horovod, and Deepspeed, are also valued. Good knowledge of Python and ML ecosystems. Strong understanding of developing and deploying systems on Kubernetes. Previous experience with GitOps solutions like ArgoCD is preferred. Good knowledge of Helm and Kustomize is also valued. Good DevOps background, with Infrastructure as Code (IaC) such as code with Terraform preferred. At least 3 years of relevant Machine Engineering experience. If this role sounds like an ideal job move, please hit the apply button with your latest resume. Alternatively, you can email your resume to jvenkataraman@welovesalt.com . Regret only shortlisted candidates will be notified. CEI No: R1659595 / EA No: 07C3147 Salt is acting as an Employment Business in relation to this vacancy. #J-18808-Ljbffr