Jobs at H2O.ai

Partner with stakeholders to design, build, validate, and deploy predictive and generative AI/ML solutions. Perform end-to-end data science work (exploration, feature engineering, modelling, evaluation), translate results into business insights, explore GenAI approaches (LLMs, RAG, agentic workflows), and collaborate with engineering on productionisation and MLOps.

Lead technical recruiting in Australia, partner with senior leaders to design hiring strategies, build scalable sourcing pipelines, screen and present candidates, manage interview and offer processes, and deliver data-driven market insights while ensuring a high-quality candidate experience and compliance.

Design, build, and deploy end-to-end AI solutions including predictive ML, GenAI, RAG, and agentic systems. Own data preparation, feature engineering, model development, deployment, monitoring, and customer enablement. Build scalable backend services and APIs, implement production-grade GenAI pipelines, and guide customers on governance, evaluation, and adoption while collaborating with product and engineering teams.

Lead end-to-end delivery of GenAI and predictive ML solutions for enterprise customers. Design, implement, deploy, and monitor production AI systems (LLMs, RAG, agentic workflows, predictive models). Manage delivery execution, technical risks, stakeholder communication, and reusable architecture/accelerators while ensuring ML lifecycle best practices and alignment to business outcomes.

Design, build, and deploy production AI applications and agent-based systems using the H2O AI platform. Contribute to end-to-end ML workflows (data prep, feature engineering, training, evaluation, deployment, monitoring), develop backend services and APIs, support customer implementations, run technical workshops, and collaborate with cross-functional teams to deliver measurable enterprise AI solutions.