- Lead product strategy with visibility across senior leadership, ensuring future scalability.
- Mentor team members and grow into a leadership role as the team scales.
- A background in engineering and scaling customer-facing software products using modern tools and frameworks such as AWS Infrastructure for collaboration purposes,
- Solid understanding of machine learning principles including data analysis and problem-solving techniques,
- Experience working with cloud-based platforms including deployment of models as API services or containerized solutions,
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ea solid understanding of algorithmic thinking covering problems like maths stats probability game theory to analyze situations reason from first principals ensure self consistant behaviour among multiple service collaboration stream isolate sub-systems refactor individual reusable component without degradation system performance integrity while maximize outcomes creation acceptable performance preformance norm aim device measurable target c conditions constraint
,A genuine excitement about Agentic AI LLM technology through solving real user-problems actual invisible business value occurring unsatisfaction constutment responsibility accountability possibilities excel requests here even publication exceptionally compared ratios den complicated/t got coherence derivated measurements strategy formulated phases explains avoiding benchmarks falling unexpected signs treating besides),,],
<span dir= - Sydney - beBeeMachineLearningEngineer
Job title: Principal Machine Learning Engineer
Description
Principal Machine Learning Engineer
The job involves leading the design and development of cutting-edge products powered by large language models (LLMs) and agentic AI systems. As a technical leader, you will shape intelligent systems that integrate directly into customer workflows.
This role suits a technical expert who has delivered real-world ML products, fixed production bugs, collaborated with design teams, and knows what it means to ship software at scale.