In-Demand Intelligence / machine learning engineer Jobs

MLOps / AI Engineer
Tata Consultancy Services —Sydney NSW
- On call
- Azure
- Management
- Master's degree
12d
Controls Engineer, APAC Controls Deployment & Service
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- Microsoft Word
- Microsoft Excel
- AWS
Senior Software Engineer
SafetyCulture —Sydney NSW
- Full-time
- Hybrid work
- AWS
- AI
9d
Controls Technician, APAC Controls Deployment & Service
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- Engineering
- AWS
- Bachelor's degree
Stakeholder Engagement and Communications Manager
Babcock International —Adelaide SA
- Marketing
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Product Manager
Nuix —Sydney NSW
- Hybrid work
- Computer science
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- Product management
Artificial Intelligence - Architect
Infosys Singapore & Australia —Sydney NSW
- $800 - $950 a day
- Contract
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick Apply
Software Engineer, DevOps
h2o.ai —Sydney NSW
- Full-time
- Azure
- Computer Science
- DevOps
Quick Apply
Founding ML Engineer
Base Compute —Melbourne VIC
- Full-time
- Master's degree
- AI
Quick Apply
Lead Agentic AI Developer
News Corp —Sydney NSW
- Hybrid work
- Computer Science
- Master's degree
- Databases
- Parental leave
9d
Senior/Staff Backend Engineer - Search
SafetyCulture —Sydney NSW
- Full-time
- AWS
- AI
Solutions Engineer
Nearmap —Barangaroo NSW
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- Machine learning
- Free food
Quick Apply
4d
Systems Development Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Administrative experience
- AWS
- AI
Sr. Systems Development Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
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- AWS
- Software development
AWS Consultant - AWS Connect - CX
Concentrix —Sydney NSW
- Full-time
- DevOps
- SQL
- AWS
Solution Engineer
Snowflake —Melbourne VIC
- Azure
- Computer Science
- Engineering
4d
Sr Security Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- AWS
- Scripting
- AI
- Health insurance
- Employee assistance program
Senior Forward Deployed Engineer
Workato —Sydney NSW
- Salesforce
- Databases
- Analysis skills
Quick Apply
Consultant - Data & Analytics
Synogize —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
- Communication skills
Quick Apply
4d
Senior Solutions Engineer - Perth
Snowflake —Perth WA
- Azure
- Computer Science
- Engineering

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MLOps / AI Engineer

Tata Consultancy Services -
Sydney NSW

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Job Details

12 days ago

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

Refine Your Search

intelligence / machine learning engineer jobs

MLOps / AI Engineer

Controls Engineer, APAC Controls Deployment & Service

Senior Software Engineer

Controls Technician, APAC Controls Deployment & Service

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Product Manager

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Lead Agentic AI Developer

Senior/Staff Backend Engineer - Search

Solutions Engineer

Systems Development Engineer, Region Services

Sr. Systems Development Engineer, Region Services

AWS Consultant - AWS Connect - CX

Solution Engineer

Sr Security Engineer, Region Services

Senior Forward Deployed Engineer

Consultant - Data & Analytics

Senior Solutions Engineer - Perth

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