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Melbourne
1 day ago
Senior ML/AI Engineering Consultant (expression of interest) logo

Senior ML/AI Engineering Consultant (expression of interest)

DiUS

Melbourne
1 day ago
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Senior ML/AI Engineering Consultant (expression of interest)

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 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)

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 skills, and consulting experience. This is a hybrid role based in Sydney or Melbourne, Australia.

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Core AIHybridFull-timeLeadMachine Learning

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid (Sydney or Melbourne)

Employment Type

Full-time

Experience Level

Senior-Lead

Core Qualifications

Technical (Must-have)
Machine LearningGenAILLMRAGAgentic SystemsPythonAWS SageMakerGCP Vertex AIAzure MLMLOpsAnthropic ClaudeOpenAIGeminiLangChainLangGraphCrewAIAutoGenMCPVector DatabasesCloud EngineeringNLPComputer VisionRecommendation SystemsStructured Data PredictionSoftware Development
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
  • •Shape requirements and define proof-of-concepts
  • •Design, build, train and deploy production ML and GenAI systems in the cloud
  • •Work on classical ML models and agentic and RAG-based GenAI solutions
  • •Mentor engineers
  • •Manage a backlog
  • •Show clients what's possible
  • •Support pre-sales conversations
  • •Scope solutions
  • •Share thought leadership with clients and the wider practice
Machine LearningAIGenAIConsultingEngineeringFull-timeHybridSeniorLeadAustralia
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