In-Demand Machine learning engineer Jobs in Chadstone, Vic

Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Snowflake Data Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
2d
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Systems Analyst, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
3d
Data Test Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
2d
Data Architect
InfoCentric —Melbourne VIC
- Full-time
- Azure
- AWS
- AI
Quick Apply
14d
Staff Software Engineer
Commonwealth Bank —Melbourne VIC
- Full-time
- Master's degree
- AWS
- Machine learning
Senior Data Scientist
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Machine learning
- AI
- Analytics
2d
Security of AI (Trusted AI) - Senior Consultant
KPMG Australia —Melbourne VIC
- Full-time
- Azure
- AWS
- Machine learning
- Parental leave
Quick Apply
11h
Systems Development Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Administrative experience
- AWS
- AI
Full Stack Developer
Woolworths MarketPlus —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- AWS
- APIs
10d
Sr Security Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Scripting
- AI
- Health insurance
- Employee assistance program
Google Data Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- Parental leave
Quick Apply
Qantas 2027 Mechanical Fitter Apprenticeship – Engineering Workshop
Qantas Group —Melbourne VIC
- Full-time
- Parental leave
Quick Apply
11d
Security of AI (Trusted AI) - Associate Director
KPMG Australia —Melbourne VIC
- Full-time
- Azure
- AWS
- AI
- Parental leave
Quick Apply
11h
Systems Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Scripting
- AI
Data Consultant, Melbourne
Practiv —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- SQL
- AI
Quick Apply
Principal Technology Product Owner- Gen AI, Responsible AI
Commonwealth Bank —Melbourne VIC
- Full-time
- Azure
- SQL
- AWS
Senior/Software Engineer (Backend, Java) - Risk
Binance —Melbourne VIC
- Full-time
- Remote
- Master's degree
- SQL
- Analysis skills
Quick Apply
Senior Software Engineer (Python/Django)
Kraken —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- APIs
- AI
Quick Apply

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machine learning engineer jobs near chadstone, vic

Senior Gemini Platform Engineer

Accenture -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

CI/CD
Management
SAP
ERP systems
Microservices
SQL
Machine learning
APIs
Security
ServiceNow
AI
Identity & access management

Full Job Description

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at accenture.com.

Role Focus

You will lead the technical architecture and delivery of enterprise-grade AI platforms. Your mission is to move clients from "Experimentation" to "Production" by architecting high-performance, secure, and cost-optimized environments for Gemini models. You will be responsible for architecting and implementing Google cloud, Gemini Enterprise, Vertex AI and other Google specific technology focused solutions for Accenture’s clients.

Key Responsibilities & Toolset Proficiency

Generative AI & Model Management

Gemini 1.5 Pro/Flash & Model Garden: Deploy and fine-tune Gemini models for specialized tasks (reasoning, long-context analysis, multimodal processing).

Vertex AI Studio: Manage the lifecycle of prompts and model versions, ensuring optimal performance across different enterprise use cases.

Orchestration & Agentic Logic

Vertex AI Agent Builder: Build "System-of-Action" agents using the native Google stack to minimize latency and maximize security.

Multi-Agent Systems: Architect complex, stateful agentic workflows, utilizing Google’s solutions and other relevant industry leading solutions to solve complex business use-cases spanning multiple industries.

Agent Development Kit (ADK): Standardize the creation of agents to ensure portability and consistency across the enterprise.

Data & Vector Infrastructure

BigQuery (Vector Search): Integrate structured business data with unstructured vector embeddings directly within BigQuery to power grounded, real-time AI responses.

Vertex AI Search & Conversation: Implement RAG (Retrieval-Augmented Generation) at scale, ensuring agents have access to the most recent and relevant enterprise knowledge.

Cloud Architecture & Engineering

Microservices (Cloud Run/GKE): Containerize and scale agentic applications using GKE for high-performance workloads or Cloud Run for serverless efficiency.

Event-Driven Design (Pub/Sub): Build asynchronous, resilient AI pipelines that trigger actions across the enterprise based on real-time data events.

Development & MLOps

Python & API Design: Craft robust, clean, and performant Python code and design secure APIs that connect Gemini to legacy systems (ServiceNow, SAP, Oracle).

CI/CD for ML (MLOps): Implement automated testing, deployment, and monitoring pipelines to manage model drift and ensure reliability.

Productivity Tools: Leverage Gemini Code Assist, Gemini CLI, and Antigravity to accelerate the development lifecycle and automate repetitive infrastructure tasks.

Technical Requirements

Platform Mastery: Advanced experience with the Vertex AI suite, including Model Garden and Agent Builder. Experience with Gemini CLI, Code Assist, Agent development kit and the future breadth of Google development tools.

Engineering Excellence: Proven track record of designing and deploying AI and Agentic frameworks, architecting agentic workflows compliant with responsible AI guideline. Sound knowledge of Google cloud solutions including Google Kubernetes engine and other relevant tools.

MLOps Discipline: Hands-on experience with Vertex AI Pipelines or Kubeflow for managing production AI lifecycles.

Data Savvy: Proficiency in SQL/BigQuery and vector database management.

Security Mindset: Deep understanding of Google Cloud VPC Service Controls, IAM, RAI and enterprise security protocols for AI.

Qualifications

5+ years in cloud engineering, Machine learning and AI development.

3+ years specifically focused on AI/ML implementation and deploying agentic systems

Proven track record of delivering end-to-end AI solutionsfor enterprise clients.

Why this role?

In this role, you aren't just an "AI developer"—you are a Reinvention Engineer. You are building the "Enterprise AI foundation” for our clients across business verticals. You will be the technical lead who ensures that when our clients deploy multi-agent systems, the infrastructure is as robust, secure, and performant as their core banking or ERP systems.

#LI_GM #LI-GM

Apply Now

Refine Your Search

machine learning engineer jobs in chadstone, vic

Senior Gemini Platform Engineer

Snowflake Data Engineer

Senior AI Engineer, Data Science

Systems Analyst, Region Services

Data Test Engineer

Data Architect

Staff Software Engineer

Senior Data Scientist

Security of AI (Trusted AI) - Senior Consultant

Systems Development Engineer, Region Services

Full Stack Developer

Sr Security Engineer, Region Services

Google Data Engineer - GCP

Qantas 2027 Mechanical Fitter Apprenticeship – Engineering Workshop

Security of AI (Trusted AI) - Associate Director

Systems Engineer, Region Services

Data Consultant, Melbourne

Principal Technology Product Owner- Gen AI, Responsible AI

Senior/Software Engineer (Backend, Java) - Risk

Senior Software Engineer (Python/Django)

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