1 day ago

Senior ML/AI Engineering Consultant (expression of interest)

DiUS

Melbourne

1 day ago

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DiUS is seeking a Senior-Lead ML/AI Engineering Consultant to lead client engagements end-to-end, from shaping requirements to deploying production ML and GenAI systems. The role requires hands-on experience building and deploying ML models and GenAI systems, strong Python and cloud engineering skills, and consulting experience. This is a hybrid role based in Sydney or Melbourne, Australia.

Core AIHybridFull-timeLeadMachine LearningGenAI

Senior ML/AI Engineering Consultant (expression of interest)

Apply

Core AIHybridFull-timeLeadMachine Learning

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid: Sydney or Melbourne (Hybrid)

Employment Type

Full-time

Experience Level

Senior-Lead

Core Qualifications

Technical (Must-have)

Machine LearningGenAILLMRAGAgentic systemsPythonAWS SageMakerGCP Vertex AIAzure MLAnthropic ClaudeOpenAIGeminiLangChainLangGraphCrewAIAutoGenMCPVector databasesMLOpsCloud EngineeringSoftware DevelopmentNLPComputer VisionRecommendation SystemsStructured Data Prediction

Soft Skills

CommunicationStakeholder ManagementComfort with AmbiguityConsultingPre-salesMentoringPassion for Learning

Preferred Qualifications

Technical (Nice-to-have)

DatabricksSnowflakeBig Data ToolingData Modelling

Key Responsibilities

•Lead client engagements end-to-end, from shaping requirements and defining proof-of-concepts to designing, building, training and deploying production ML and GenAI systems in the cloud.
•Get hands-on with everything from classical ML models to agentic and RAG-based GenAI solutions.
•Mentor engineers, manage a backlog, and show clients what's possible.
•Support pre-sales conversations, scope solutions, and share thought leadership with clients and the wider practice.

Machine LearningAIGenAIConsultingEngineeringInformation TechnologyFull-timeHybridSeniorLead

Core Qualifications

Technical (Must-have)

Soft Skills

CommunicationStakeholder ManagementComfort with AmbiguityConsultingPre-salesMentoringPassion for Learning

Key Responsibilities

•Lead client engagements end-to-end, from shaping requirements and defining proof-of-concepts to designing, building, training and deploying production ML and GenAI systems in the cloud.

•Get hands-on with everything from classical ML models to agentic and RAG-based GenAI solutions.

•Mentor engineers, manage a backlog, and show clients what's possible.

•Support pre-sales conversations, scope solutions, and share thought leadership with clients and the wider practice.