Global MLOps Field Engineer - AI/Cloud Solutions Architect

Jobgether SRL; Australia; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Learning budget USD 2,000 per year

Annual compensation review

Fully distributed work environment

Travel opportunities

Job summary

Partner Company in Australia seeks an experienced MLOps Field Engineer to design and deliver AI/ML architectures using open source tech, Linux, Kubernetes, and cloud infrastructure. You will work directly with customers, architects, and sales to implement distributed ML and real-time data processing across hybrid environments.

Role involves hands-on implementation, solution delivery, and travel up to 30% internationally, contributing to technical roadmaps and customer success.

Qualifications

• Experience in MLOps, data engineering or cloud infrastructure.
• Hands-on with Linux, virtualization, containers and networks.
• Knowledge of Kubernetes and public cloud platforms (AWS/Azure/GCP).
• Familiarity with ML infra, data pipelines, distributed systems.

Responsibilities

• Design AI/ML, MLOps, data engineering and cloudInfra solutions.
• Deploy and validate solutions on on-prem and cloud platforms.
• Engage with customers to translate requirements into architecture.
• Develop automation and Kubernetes capabilities with Python.
• Deliver presentations, demos, and training sessions for customers.
• Travel internationally up to 30% of time.

Skills

MLOps

Kubernetes

Python

Linux

Cloud platforms

Open source

Solution architecture

Customer engagement

Education

Bachelor's degree in a technical field

Tools

Kubeflow

OpenStack

Spark

AWS

Azure

Google Cloud

Job description

Partner Company in Australia seeks an experienced MLOps Field Engineer to design and deliver AI/ML architectures using open source tech, Linux, Kubernetes, and cloud infrastructure. You will work directly with customers, architects, and sales to implement distributed ML and real-time data processing across hybrid environments.

Role involves hands-on implementation, solution delivery, and travel up to 30% internationally, contributing to technical roadmaps and customer success.