Machine Learning Engineer

4 weeks ago

Sydney, New South Wales, Australia NineTech Full time
Machine Learning Engineer

This range is provided by NineTech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

A$90.00/hr - A$90.00/hr

Direct message the job poster from NineTech

We're urgently seeking a Senior DevOps ML Engineer with a rare combination of DevOps leadership, software engineering depth, and MLOps expertise.

The client requires someone with DevOps leadership, coding skills akin to a seasoned backend engineer, and ability to optimize AI systems with precision.

You will be responsible for the end-to-end design, deployment, and operation of AI platforms.

Expect to split your time approximately as follows: 60% DevOps/AI infrastructure, 30% backend coding, and 10% MLOps/model lifecycle tasks.

One week, you may be helping data scientists productionize LLM pipelines. The next, you're deep in Terraform, Helm charts, and CUDA kernels—tuning real-time latency for a Tokkio-powered digital avatar.

Key Responsibilities

AI Platform & DevOps (60%)

  • Architect, deploy, and maintain GPU-accelerated Kubernetes clusters using Helm, NGC containers, and custom K8s operators.
  • Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, Argo CD) to enable continuous delivery of both software and models.
  • Automate infrastructure across AWS, Azure, and on-prem environments using Terraform or Pulumi.
  • Optimize GPU workloads and ensure reliability across hybrid or multi-cloud AI platforms.

Model Lifecycle & MLOps

  • Collaborate with data scientists to containerize, benchmark, and tune LLMs, diffusion models, and multimodal pipelines.
  • Implement data governance and tracking for AI data pipelines (e.g., LakeFS, Feast).
  • Maintain feature and vector stores, ensuring reproducibility and performance of AI applications.

Hands-on Engineering

  • Develop backend services and APIs in Python and C++ (CUDA, Triton, TensorRT-LLM) and optionally in TypeScript.
  • Integrate components from the client's digital human ecosystem: Riva (speech), Tokkio, Maxine (Audio2Face, eye contact), Omniverse.
  • Build reusable SDKs, CLI tools, and internal libraries to accelerate AI/ML workflows across teams.

Required Qualifications

  • 10+ years of experience building and operating production-grade software systems.
  • 2+ years focused specifically on AI/ML platforms or infrastructure.
  • Proven expertise in CI/CD, GitOps, Terraform, and Helm.
  • Strong Kubernetes and Docker experience, including GPU workload scheduling.
  • Advanced Linux administration skills and experience profiling GPU workloads.
  • Expert-level Python plus one systems language (C++, Go, Rust, or Java).
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting
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