Founded in 2012, H2O.ai is on a mission to democratize AI.
As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data.
Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH.
H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST.
H2O.ai’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, H2O.ai aims to co-create valuable AI applications for all users.
H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.
About This Opportunity Are you a 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 New York, NY.
What You Will Do Deliver end-to-end Generative / Agentic AI solutions blended with Data Science and Machine Learning models for enterprise customers, spanning the entire lifecycle from problem definition, data preparation, model development, deployment, and monitoring.
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).
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.
Apply knowledge of predictive AI algorithms (regression, ensemble methods, time-series forecasting, classification, anomaly detection, etc.) along with Generative AI techniques to deliver hybrid solutions.
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.
Help customers leverage H2O Driverless AI, H2O Wave, H2O LLM Studio, and other tools for experiment tuning, interpretability, model governance, and monitoring.
Translate technical outputs into business impact narratives and guide non-technical stakeholders on the value and risks of AI adoption.
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 5+ years of hands-on experience in data science, machine learning, and AI, with a proven track record of delivering projects for enterprise customers.