In-Demand Ml engineer Jobs in Victoria

AI Architect - Databricks
Unison Group —Melbourne VIC
- Contract
- Azure
- Master's degree
- SQL
Quick Apply
Lakebase Specialist Sales
Databricks —Melbourne VIC
- Azure
- Sales
- Databases
Senior Machine Learning Engineer
Prezzee —Melbourne VIC
- Azure
- AWS
- Machine learning
- Work from home
- Parental leave
Quick Apply
AI Backend Developer, Binance Square (Java, Golang, Python)
Binance —Melbourne VIC
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
Quick Apply
Senior Machine Learning Engineer
Easygo —Melbourne VIC
- Azure
- Computer Science
- DevOps
- Employee assistance program
Quick Apply
Senior Full Stack Engineer, App Runtime
Snowflake —Melbourne VIC
- Full-time
- SQL
- AI
- Communication skills
Senior Manager, Data Analytics and AI Consulting
EPAM Systems, Inc. —Melbourne VIC
- Azure
- SQL
- AWS
Senior Snowflake Consultant
InterWorks —Melbourne VIC
- Remote
- Azure
- Computer Science
- SQL
- Health insurance
- Gym membership
Quick Apply
Senior Software Engineer - Australia
Neara —Melbourne VIC
- Full-time
- CAD
Senior Applied AI Engineer
Culture Amp —Preston VIC
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
- Parental leave

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AI Architect - Databricks

Unison Group -
Melbourne VIC

Quick Apply

Job Details

Contract

Qualifications

CI/CD
Azure
Law
Deployment
Google Cloud Platform
Master's degree
SQL
AWS
Bachelor's degree
Machine learning
Unity
Solution architecture
AI
Analytics

Full Job Description

We are looking for an experienced AI Architect with strong expertise in Databricks, Data Engineering, Machine Learning, and Cloud-based AI solutions to lead the design and implementation of scalable AI/ML platforms and intelligent data solutions. The ideal candidate will define enterprise AI architecture, drive modern data and AI transformation initiatives, and work closely with business, engineering, and analytics teams to deliver high-impact solutions.

This role requires a strong understanding of end-to-end AI/ML lifecycle, Lakehouse architecture, Databricks ecosystem, and the ability to translate business use cases into production-ready AI solutions.

Key Responsibilities

Design and implement enterprise AI/ML architecture using Databricks Lakehouse Platform.
Define scalable solutions for data ingestion, feature engineering, model training, deployment, monitoring, and governance.
Architect and optimize AI/ML pipelines using Databricks, Spark, Python, SQL, and cloud-native services.
Lead the setup of MLOps / LLMOps frameworks for model lifecycle management, CI/CD, model registry, and automated deployment.
Work with business stakeholders to identify and prioritize AI/ML use cases, including predictive analytics, NLP, recommendation engines, and generative AI.
Build and guide architecture for LLM / Generative AI solutions, including RAG, vector databases, prompt orchestration, and model integration where applicable.
Establish best practices for data quality, security, compliance, observability, scalability, and responsible AI.
Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams to ensure solution alignment with enterprise architecture standards.
Provide technical leadership in selecting AI/ML tools, frameworks, and cloud services aligned to business and platform strategy.
Support architecture reviews, technical design workshops, PoCs, and enterprise AI roadmap planning.

Required Skills & Experience

8- 15 years of experience in Data / AI / Analytics architecture, with strong exposure to enterprise-scale implementations.
Hands-on experience with Databricks including:
- Databricks Lakehouse
- Delta Lake
- Unity Catalog
- MLflow
- Databricks Workflows
- Model Serving / Feature Store (preferred)
Strong programming experience in Python, PySpark, SQL, and AI/ML solution development.
Solid experience in designing and deploying Machine Learning pipelines in production.
Good understanding of MLOps / LLMOps, including model versioning, CI/CD, deployment, monitoring, and governance.
Experience with cloud platforms such as Azure, AWS, or GCP, preferably with Databricks integration.
Familiarity with Generative AI / LLM ecosystems, such as OpenAI, Hugging Face, LangChain, vector stores, embeddings, and RAG architectures.
Strong understanding of data engineering, ETL/ELT, distributed computing, and data platform modernization.
Experience in solution architecture, technical governance, and stakeholder engagement.

Quick Apply

Refine Your Search

ml engineer jobs in victoria

AI Architect - Databricks

Lakebase Specialist Sales

Senior Machine Learning Engineer

AI Backend Developer, Binance Square (Java, Golang, Python)

Senior Machine Learning Engineer

Senior Full Stack Engineer, App Runtime

Senior Manager, Data Analytics and AI Consulting

Senior Snowflake Consultant

Senior Software Engineer - Australia

Senior Applied AI Engineer

I want to receive the latest job alert for ml engineer in victoria

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