4 days ago

Mid Level AI Models Engineer

Heidi

Melbourne

4 days ago

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Heidi is hiring a Mid Level AI Models Engineer in Melbourne to build and deploy custom AI systems for enterprise healthcare customers. The role spans model customisation, inference deployment, agent systems, and customer delivery, requiring strong experience in at least two of these areas.

Core AIHybridFull-timeMid LevelModel CustomisationModel Fine-tuning

Mid Level AI Models Engineer

Apply

Core AIHybridFull-timeMid LevelModel Customisation

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Mid level

Core Qualifications

Technical (Must-have)

Model customisationModel fine-tuningModel evaluationDeployment and inferenceCloud deploymentOn-prem deploymentAgent systemsLarge Language ModelsOpen-weight language modelsSoftware engineeringMachine Learning engineeringMonitoringBackup and recovery

Soft Skills

Clear communicationGood judgementAbility to work through ambiguityCollaboration

Key Responsibilities

•Turn customer use cases into training and evaluation plans
•Select suitable data, models, and training approaches
•Fine-tune and evaluate models for specialised domains
•Improve quality based on testing and production feedback
•Design cost-effective cloud or on-prem deployment approaches
•Select suitable infrastructure and serving configurations
•Improve reliability, latency, and operating cost
•Build monitoring, backup, and recovery processes
•Build agent workflows around language models
•Connect models with customer data, tools, and existing systems
•Add controls and observability needed for production use
•Work with customers to understand their requirements and constraints
•Explain trade-offs between quality, cost, privacy, and complexity
•Help take solutions from early discovery through production launch

AIHealthcareMachine LearningLLMSoftware DevelopmentMid LevelHybridMelbourne

Core Qualifications

Technical (Must-have)

Soft Skills

Clear communicationGood judgementAbility to work through ambiguityCollaboration

Key Responsibilities

•Turn customer use cases into training and evaluation plans

•Select suitable data, models, and training approaches

•Fine-tune and evaluate models for specialised domains

•Improve quality based on testing and production feedback

•Design cost-effective cloud or on-prem deployment approaches

•Select suitable infrastructure and serving configurations

•Improve reliability, latency, and operating cost

•Build monitoring, backup, and recovery processes

•Build agent workflows around language models

•Connect models with customer data, tools, and existing systems

•Add controls and observability needed for production use

•Work with customers to understand their requirements and constraints

•Explain trade-offs between quality, cost, privacy, and complexity

•Help take solutions from early discovery through production launch