Top Tech Jobs & Startup Jobs in Melbourne

6 Days AgoSaved
In-Office
Melbourne, Victoria, AUS
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • Software • Big Data Analytics
Provide technical and business consultation throughout the sales process. Responsibilities include discovering customer requirements, designing and demonstrating solutions, presenting architectures and business outcomes, defining technical sales strategies, supporting account planning, understanding competitive differentiators, translating feedback into product roadmap items, evangelizing solutions, and mentoring team members. The role focuses on enterprise software, big data, data governance, infrastructure, generative AI, and solution architecture.
Top Skills: .NetCassandraDatastageDeep Learning FrameworksExadataFlinkGenerative AiGreenplumHbaseHdfsIbmImpalaInformatica BdmJavaKafkaKuduLinuxMongoDBNetezzaNifiOraclePythonQlikRSolrSparkSQLTableauTalendTeradataYarnZoomdata
22 Days AgoSaved
In-Office or Remote
Melbourne, Victoria, AUS
Senior level
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Embed with strategic customers to prototype, build, and productionize full-stack AI and agentic applications. Advise on AI strategy, codify repeatable solution patterns, mentor teams, and feed product improvements.
Top Skills: Agentic SystemsAgentic WorkflowsAWSAzureClouderaContext EngineeringDistributed Ai WorkloadsFine-TuningFoundation ModelsGCPGenerative AiIcebergInference OptimizationLlmopsMlopsModel ServingNifiNvidia GpusObservabilityRetrieval-Augmented Generation (Rag)Semantic SearchSpark
25 Days AgoSaved
In-Office
Melbourne, Victoria, AUS
Senior level
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Lead technical discovery and hands-on AI workshops to identify, validate, and prioritize private AI use cases. Assess enterprise data readiness, define technical requirements and success criteria, build lightweight proofs of concept and reference architectures, and hand off validated opportunities to engineering teams. Partner with ecosystem providers (e.g., NVIDIA) and regional pods to scale reusable AI patterns across customers and industries.
Top Skills: Accelerated Computing PlatformsAPIsCloud-Native ArchitecturesData PipelinesMlopsNemoNimsNotebooksNvidia Ai EnterprisePythonRapids
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