Founded in 2012, is on a mission to democratize AI. As the world's leading agentic AI company, converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments— delivers solutions that align with the highest standards of data privacy and control.
Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.
partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. 's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, aims to co-create valuable AI applications for all users.
has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.
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About This Opportunity
Are you an AI engineer, data scientist, or machine learning engineer who enjoys solving real-world problems by applying cutting-edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is "yes", then we are looking for you
This position is based in Sydney, Australia.
What You Will Do
1. Build custom AI/ML agents and applications using the H2O AI stack, and help design verticalized use cases across industries (e.g., banking, finance, insurance, retail, healthcare, manufacturing).
2. Conduct customer enablement programs, such as hands-on training sessions, workshops, hackathons, and boot camps, to help data scientists, business users, and executives effectively adopt AI.
3. Help customers leverage and adopt H2O tools such as - Driverless AI, H2O Wave, H2O LLM Studio, and other tools for experiment tuning, interpretability, model governance, and monitoring.
4. Support customers in their end-to-end GenAI journey, including LLM selection, evaluation, fine-tuning, prompt engineering, and building scalable GenAI/RAG pipelines tailored to their business needs.
5. Translate technical outputs into business impact narratives and guide non-technical stakeholders on the value and risks of AI adoption.
6. Collaborate with internal teams to advance H2O's GenAI/ML technology stack, contribute to reusable assets, best practices, and industry accelerators.
What We Are Looking For
7. 3+ years of hands-on experience in data science, machine learning, and AI, with a proven track record of delivering projects for enterprise customers.
8. Good customer-facing and communication skills: ability to engage with business stakeholders, executives, data scientists, and engineers, and clearly articulate technical concepts in business language.
9. Expertise in LLMs and GenAI: fine-tuning, evaluation, RAG design, LLMOps, guardrails, and building domain-specific/custom LLM solutions.
10. Experience with predictive AI algorithms (GLMs, Random Forest, Gradient Boosting, Neural Networks, NLP, time-series forecasting, anomaly detection, etc.).
11. Ability to design and deliver training, workshops, and customer enablement programs for technical and business stakeholders.
12. Hands-on experience with H2O products (Driverless AI, H2O-3, H2O Wave, LLM Studio) or similar AI/ML platforms.
13. Proficiency in Python (preferred) and standard data science/ML libraries and frameworks.
How To Stand Out from the Crowd
14. Prior experience in building AI/ML agents and GenAI applications for industry-specific use cases.
15. Demonstrated thought leadership in AI—published blogs, talks, or open-source contributions.
16. Experience running AI hackathons, bootcamps, or innovation workshops with enterprise customers.
17. Familiarity with enterprise-grade AI solutioning (security, governance, scalability, compliance).
Why
18. Market leader in total rewards
19. Remote-friendly culture
20. Flexible working environment
21. Be part of a world-class team
22. Career growth
is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.
is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose.
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