Our “AI for Good” program supports nonprofit groups, foundations, and communities in their efforts to advance education, healthcare, and environmental conservation, including identifying areas vulnerable to natural disasters and protecting endangered species.
We have a vibrant community of two million data scientists worldwide and aim to bring together the world’s top data scientists with customers to co-create GenAI applications that are usable and valuable by everyone. Business users can now leverage the power of LLMs to enhance productivity with enterprise applications.
H2O.ai is a Visionary in the 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. We are the only provider in the market to offer both Predictive AI and Generative AI on premise and air gapped, in addition to supporting all cloud environments.
About This Opportunity
Are you an AI/ML engineer who enjoys building end-to-end AI solutions that solve real-world problems? Do you thrive at the intersection of machine learning, software engineering, and MLOps? Are you passionate about deploying cutting-edge Gen AI and LLM-based applications? If the answer is “yes,” then we want to hear from you!
This position is based in Sydney, Australia.
What You Will Do
- End-to-End AI Development: Design, develop, and deploy scalable AI applications by integrating machine learning models into production environments.
- ML Model Development & Deployment: Build, fine-tune, and deploy AI/ML models, including GenAI, LLMs, transformers, and deep learning models.
- Implement robust MLOps best practices, including model monitoring, versioning, and deployment using tools like Docker, Kubernetes, MLflow, and H2O ML Ops.
- Develop custom LLMs, apply fine-tuning, prompt engineering, retrieval-augmented generation, RAG, and model guardrails for responsible AI applications.
- Deploy AI/ML models on AWS, GCP, Azure, or on-premise environments, ensuring efficient and scalable AI infrastructure.
- Collaboration & Communication: Work closely with cross-functional teams (data engineers, DevOps, and product managers) to understand business needs and deliver AI solutions effectively.
- 5+ years of hands-on experience in AI/ML engineering, including end-to-end model development and deployment.
- Strong programming skills in Python experience with frameworks such as PyTorch, Scikit-learn etc. H2O.ai is a plus
- Experience with full-stack AI application development, including backend APIs and frontend integration.
- Understanding of Gen AI, LLMs, and NLP techniques.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Excellent communication skills, capable of explaining complex AI/ML concepts to both technical and non-technical stakeholders.
- In depth understanding of machine learning algorithms and experience applying GenAI/ML to solve real work problems, including deployment of end to end ML pipelines.
- Interest in Generative AI and Large Language Models like Prompt Engineering, RAG, LLMOps, and making custom LLM models, fine tuning etc, Guardrails.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Market Leader in Total Rewards
- Remote-Friendly Culture
- Flexible working environment
- Be part of a world-class team
- Career Growth
H2O.ai 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.
H2O.ai 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.
Please visit www.H2O.ai to learn more.
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