In-Demand Senior machine learning engineer Jobs in Parramatta, Nsw

Senior Gemini Platform Engineer
Accenture —Sydney NSW
- Full-time
- Management
- ERP systems
- SQL
Senior Manager, Data Analytics Consulting
EPAM Systems, Inc. —Sydney NSW
- Azure
- AWS
- Machine learning
Engineering Lead/Manager, Risk (Relocate to Singapore)
Airwallex —Sydney NSW
- Full-time
- Management
- Computer Science
- Salesforce
Copy of Senior Structural Engineer (OpenSees | AI Training & Evaluation)
Lifted, an Upwork Company™ —Sydney NSW
- $80 - $110 an hour
- Contract
- Remote
- Doctoral degree
- Research
- Master's degree
- Flexible schedule
Quick Apply
Senior Designated Support Engineer
Databricks —Sydney NSW
- Azure
- SQL
- AWS
7d
Product Manager, Data Products
HUB24 —Sydney NSW
- Full-time
- Hybrid work
- Management
- Machine learning
- Product management
- Parental leave
Senior Embedded Linux Software Engineer – Edge AI & IoT
Schréder —Ryde NSW
- Full-time
- Hybrid work
- APIs
- AI
- Communication skills
Quick Apply
Account Executive, Latin America
Snowflake —Barangaroo NSW
- Full-time
- Computer Science
- Engineering
- Master's degree
Associate Systems Engineer
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Computer Science
- Software troubleshooting
- AWS
Senior Manager, Data Analytics and AI Consulting
EPAM Systems, Inc. —Sydney NSW
- Azure
- SQL
- AWS
AI Technical Lead
Accenture —Sydney NSW
- Full-time
- Azure
- Master's degree
- AWS
- On-the-job training
- Parental leave
Staff Engineer Chapter Lead – Generative AI
Commonwealth Bank —Sydney NSW
- Full-time
- Systems design
- Master's degree
- AWS
Senior Associate, Data Science & AI Solutions Global Markets
Commonwealth Bank —Sydney NSW
- Full-time
- Azure
- Engineering
- Finance
2d
Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Analytics
- Annual leave
- Work from home
Senior AI Engineer
MYOB —Sydney NSW
- Computer Science
- Master's degree
- AWS
- Parental leave
Staff Designated Support Engineer
Databricks —Sydney NSW
- Azure
- SQL
- AWS
7d
Senior Azure Cloud Customer Experience Engineer - Japanese Speaking
Microsoft —Sydney NSW
- Full-time
- Azure
- Management
- Computer Science
Senior Databricks Platform Engineer
Deloitte —Sydney NSW
- Azure
- DevOps
- Databases
- Parental leave
Senior Software Engineer
Freelancer.com —Sydney NSW
- $160,000 - $180,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick Apply
Data Scientist, Network Fabric Engineering
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Laboratory
- Data analysis skills
- SQL

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senior machine learning engineer jobs near parramatta, nsw

Senior Gemini Platform Engineer

Accenture -
Sydney NSW

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

senior machine learning engineer jobs in parramatta, nsw

Senior Gemini Platform Engineer

Senior Manager, Data Analytics Consulting

Engineering Lead/Manager, Risk (Relocate to Singapore)

Copy of Senior Structural Engineer (OpenSees | AI Training & Evaluation)

Senior Designated Support Engineer

Product Manager, Data Products

Senior Embedded Linux Software Engineer – Edge AI & IoT

Account Executive, Latin America

Associate Systems Engineer

Senior Manager, Data Analytics and AI Consulting

AI Technical Lead

Staff Engineer Chapter Lead – Generative AI

Senior Associate, Data Science & AI Solutions Global Markets

Senior Data Analytics /BI Lead

Senior AI Engineer

Staff Designated Support Engineer

Senior Azure Cloud Customer Experience Engineer - Japanese Speaking

Senior Databricks Platform Engineer

Senior Software Engineer

Data Scientist, Network Fabric Engineering

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