Machine Learning Engineer

An exciting opportunity as Machine Learning Engineer, ML Platform - RAY 1+ Year Long-term and renewable with our client for continued career stability and growth. This is a fantastic opportunity for professional growth and long-term career development. Here's why you should consider this role:

Technical

🚀 Join Our Client Team as a Machine Learning Engineer, ML Platform - Ray🚀

*The Day-to-Day Activities:**

* Deliver high-quality AI infrastructure solutions: You will work with the Machine Leaning 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 Grabs 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 job on the the Ray clusters.

**The Must-Haves:**

* 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 Kustomise is also valued.

* Good DevOps background, with Infrastructure as Code (IaC) such as code with Terraform preferred

* Strong written and verbal communication skills

Please review the job description and send your updated resume to [email protected]

Im confident that this role offers an excellent opportunity for both your growth and long-term success 🚀.