In-Demand Artificial intelligence / machine learning engineer Jobs

MLOps / AI Engineer
Tata Consultancy Services —Sydney NSW
- On call
- Azure
- Management
- Master's degree
Staff Machine Learning Engineer
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Salesforce
- Master's degree
- AWS
- Employee assistance program
5d
Software Engineer (Artificial Intelligence)
Doghouse Group Pty Ltd —Perth WA
- $85,000 - $95,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick Apply
6d
Software Engineer
Bay2Bay Cleaning Pty Ltd —Sydney NSW
- $100,000 - $120,000 a year
- Full-time
- Hybrid work
- CRM software
- Azure
- Management
Quick Apply
13h
Controls Engineer, Australia Controls Deployment and Service
Amazon Corporate Services Pty Ltd —Sydney NSW
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
5d
Senior Machine Learning Engineer
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- APIs
- AI
5d
Senior Solution Architect
CYOS Solutions —Canberra ACT
- $140 - $160 an hour
- Contract
- Hybrid work
- Azure
- DevOps
- AWS
Quick Apply
5d
Senior Cloud Solution Architect
SkyDB —Canberra ACT
- $115,000 - $225,000 a year
- Contract
- Azure
- AWS
- In-person
Quick Apply
5d
Principal Identity Engineer
Okta —Sydney NSW
- Management
- AI
Quick Apply
Manager, AI Governance
AFCA —Sydney NSW
- Full-time
- Hybrid work
- AI
- Communication skills
Quick Apply
11d
Legal Specialist
Scissero —Melbourne VIC
- Remote
- AI
- Annual leave
- Employee assistance program
Manager, AI Governance
Australian Financial Complaints Authority —Melbourne VIC
- Full-time
- Hybrid work
- AI
- Communication skills
11d
Senior Director, Digital
Alvarez and Marsal —Sydney NSW
- Full-time
- Doctoral degree
- Engineering
- Master's degree
Product Manager
Coles Group —Hawthorn East VIC
- Full-time
- Machine learning
- No degree
- Product management
- Free parking
- Employee stock purchase plan
Service Delivery Manager
Future Secure AI —Sydney NSW
- On call
- AI
- Leadership
Quick Apply
10d
Enterprise Account Executive
Pluralsight —Melbourne VIC
- Full-time
- Sales
- Annual leave
- Professional development assistance
Senior Director, Digital
Alvarez & Marsal —Sydney NSW
- Doctoral degree
- Engineering
- Master's degree
Senior Principal Product Manager
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- Product management
- APIs
Talent Acquisition Specialist
Emesent —Brisbane QLD
- Full-time
- Recruiting
- AI
- Communication skills
9d
Technical Support Team Lead
Babcock International —Henderson WA
- Machine learning
- AI
- Employee assistance program

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MLOps / AI Engineer

Tata Consultancy Services -
Sydney NSW

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Job Details

Qualifications

CI/CD
Azure
Management
Law
Git
Google Cloud Platform
Master's degree
AWS
Docker
Machine learning
ITIL
Terrafrom
AI
High availability

Full Job Description

Job Description:

Role Overview

The MLOps / AI Engineer is responsible for designing, building, deploying, and operating production-grade machine learning and AI systems at enterprise scale. This role bridges data science, software engineering, and platform engineering to ensure AI models and applications are reliable, secure, observable, and governed throughout their lifecycle.

Key Responsibilities – MLOps & AI Platform Engineering

Design, build, and maintain end-to-end MLOps pipelines covering model development, training, validation, deployment, monitoring, retraining, and retirement.
Develop and operate scalable AI/ML platforms across development, test, and production environments.
Operationalise machine learning and LLM-based solutions with strong reliability, performance, and governance controls.
Support batch and real-time inference workloads.

Software Engineering & Automation

Develop production-quality services and automation using Python and modern software engineering practices.
Build and manage CI/CD pipelines using Git-based workflows.
Implement Infrastructure as Code (IaC) using Terraform, ARM, CloudFormation, or Bicep.

Containerisation & Cloud Deployment

Deploy AI workloads using Docker and Kubernetes.
Design cloud-native architectures on Azure, AWS, or GCP.
Implement blue/green, canary, and progressive deployment strategies.

LLMs & Generative AI

Implement LLM application patterns including prompt orchestration, RAG, embeddings, and vector databases.
Integrate with LLM platforms such as Azure OpenAI, OpenAI, Anthropic, or AWS Bedrock.
Work with agentic AI frameworks and orchestration tools.

Monitoring, Observability & Operations

Implement logging, metrics, tracing, and alerting for AI services.
Monitor model performance, drift, latency, and availability.
Provide on-call production support and incident resolution.

Security, Governance & Compliance

Implement IAM, secrets management, encryption, and network security.
Ensure compliance with enterprise governance and audit requirements.

Qualifications & Experience

5+ years experience in MLOps, AI Engineering, or Platform Engineering.

Strong Python and Linux experience.

Experience deploying AI systems in production environments.

Preferred Skills

Experience with ML platforms such as MLflow, Kubeflow, SageMaker, or Azure ML.(These are MLOps Frameworks)

Experience with high-availability AI platforms.

Familiarity with ITIL or enterprise service management processes.

Location

Sydney

Job Function

TECHNOLOGY

Role

Engineer

Job Id

420572

Desired Skills

Artificial Intelligence | Machine Learning

Apply Now

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artificial intelligence / machine learning engineer jobs

MLOps / AI Engineer

Staff Machine Learning Engineer

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Senior Machine Learning Engineer

Senior Solution Architect

Senior Cloud Solution Architect

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Manager, AI Governance

Legal Specialist

Manager, AI Governance

Senior Director, Digital

Product Manager

Service Delivery Manager

Enterprise Account Executive

Senior Director, Digital

Senior Principal Product Manager

Talent Acquisition Specialist

Technical Support Team Lead

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