Machine Learning Engineer

An exciting opportunity to join a small, high-impact AI team building an internal AI Platform that powers the next generation of intelligent products and services.

You'll work on cutting-edge AI infrastructure, collaborate with experienced platform engineers, and make a real impact on how AI innovation scales across the organization.

What you'll be doing:

• Building and maintaining a Kubernetes-hosted AI platform (AKS)
• Deploying and managing LLMOps tools such as LiteLLM, Langflow, and Langfuse
• Implementing observability with Prometheus, Grafana, and Loki
• Managing infrastructure through Terraform, ArgoCD, and GitHub Actions
• Supporting internal AI applications including RAG, document processing, and internal AI assistants

What you'll need:

• 2-4 years in Platform or DevOps Engineering (Azure preferred)
• Strong experience with Kubernetes, Docker, and Terraform
• Programming or scripting skills in Python or Go
• Familiarity with GitOps, Helm, and observability tools
• A learning mindset and interest in LLM operations