H2O.ai
Automated Model Documentation
Only H2O.ai provides an end-to-end GenAI platform where you own every part of the stack. Built for airgapped, on-premises or cloud VPC deployments.
Rekrutterer nå
Ansetter H2O.ai?
Ja. Per 8. oktober 2026 har H2O.ai 20 ledige stillinger på Metaintro. 8 ble publisert de siste 30 dagene.
Ledige stillinger
Nyeste først. Lønn vises når annonsen oppgir den.
- Principal AI EngineerKunstig Intelligens/MaskinlæringSan Francisco · Hybrid · $175K – $200K/yrSan FranciscoHybrid$175K – $200K/yr-17 d.
- Demand Generation & ABM DirectorMarkedsføringNew York · $150K – $200K/yrNew York—$150K – $200K/yr-20 d.
- Demand Generation & ABM DirectorMarkedsføringSan Francisco · $150K – $200K/yrSan Francisco—$150K – $200K/yr-20 d.
- Software Engineer, DevOpsDevOpsMelbourne · HybridMelbourneHybrid—-22 d.
- Senior Sales Engineer, FederalSalgWashington · Fjernarbeid · $200K – $320K/yrWashingtonFjernarbeid$200K – $320K/yr-23 d.
- Software Engineer, DevOpsDevOpsSydney · HybridSydneyHybrid—-24 d.
- Manager, Software DevelopmentUtviklerColombo · HybridColomboHybrid—-28 d.
- Customer Support EngineerGenerell TeknologiMontreal · Fjernarbeid · CA$80K – CA$100K/yrMontrealFjernarbeidCA$80K – CA$100K/yr3. sep. 2026
Rekrutteringsmønster
Hvor raskt H2O.ai legger ut nye stillinger, og hvilken arbeidsform de har.
Nye stillinger per månedStillinger etter måned for første publisering
Stillingenes arbeidsformAndel av ledige stillinger
Kunder
Alle 11 selskaper som H2O.ai oppgir som kunder.
Kundecaser9
- DDeserve
- VVisión Banco
- AArmadaHealth
- Jewelers Mutual
- セセンコーグループホールディングス株式会社
- PPropertyGuru
- BBeeswax
- AAcordo Certo
- AAES
Andre kunder2
- JJeweler's Mutual
- セセンコーグループ
Hva kundene deres sier
Sitater fra folk hos H2O.ais kunder.
“By using H2O Driverless AI for automatic machine learning, we are able to more quickly deploy our proprietary algorithms that allow us to provide credit to sutdents and the underserved. H2O.ai helps us to save considerable time and scale quickly even with a smaller data science team.”
““We started using H2O Driverless AI for critical use cases: propensity to buy, default prediction, and credit risk scoring,” says Diaz. “We plan to use the platform for more use cases in the future.””
““This outcome was a surprise for us,” says Diaz.”
““When we switched to H2O we changed the way of deploying models too,” explains Diaz.”
““The deployment part for data scientists is sometimes forgotten,” explains Diaz, “but it’s very important. It’s the way the model comes to life.””
Vis 6 sitater tilVis færre
“In the past, you could average 6 months or more just for the process of building the models. Now it is less than a week!”
“If you had to traditionally build models, you would have to bring in a team of PhDs and work on it for months together. Now, with Driverless AI, we are able to reach the same level of results, if not better.””
“We chose H2O AI because it with the transparency we needed into our machine learning process, much more flexibility than the other tools we evaluated, and the strongest machine learning explainability capabilities on the market.”
“Driverless AIは難しい作業が全くありません。分析用デー タをインポートしたら、後はDriverless AIが特徴量設計、予 測手法の選択やチューニングなどを繰り返し、自動で複数 のモデルの中から最適なものを選択し、予測してくれま す。驚くことに、統計解析のモデル作成スキルに依存せず 精度の高い結果を出せるのです”
“Driverless AI is not only easy to use, but it is easy to get results. We have reduced the time to build and deploy models from about one week to a few days. This is massive for our team. We have also improved the predictive accuracy of the repayment model to over 76% Consumers and creditors alike are reaping the benefits of our unique AI debt scoring models.”
“We didn’t have a single data scientist on payroll when we started our AI transformation. We started with a few high value use cases, built a team, and found a platform to accelerate our results”
KI-lanseringer og partnere
Hva H2O.ai har lansert, og hvem selskapet samarbeider med om KI.
- LanseringH2O WaveH2O.ai offers H2O Wave as an AI platform for business users.
- LanseringH2O Driverless AIH2O.ai offers H2O Driverless AI, an automatic machine learning platform that augments and complements a data scientist's efforts.
- LanseringSparkling WaterH2O.ai offers integrations for Apache Spark with Sparkling Water as part of its AI and machine learning platforms.
- LanseringH2O platformH2O.ai offers the open-source H2O platform for machine learning and AI.
Etterspurte ferdigheter
Hyppigst i ledige annonser.
Mest etterspurte ferdigheter
- Kubernetes
- Python
- AWS
- Docker
- PyTorch
- RAG
- LLMs
- CI/CD
- Linux
- REST APIs
- CI/CD pipelines
- Terraform
Teknologistakk
- CMS
- HubSpot CMS
- Adobe Experience Manager
- Sikkerhet
- Osano
- Markedsføring
- HubSpot
- Analyse
- Adobe Experience Platform Launch (DTM)
- Heap
- Google Tag Manager
Selskapsfakta
- Grunnlagt
- 2011
- Bransje
- Automated Model Documentation
- Sektor (NAICS)
- Informasjon
- Nettsted
- h2o.ai
- Karriere
- h2o.ai/company/careers
Stillinger etter sted
Hvor H2O.ai rekrutterer. Velg en by for å se stillingene der.
Spørsmål om H2O.ai
- Ansetter H2O.ai?
- Ja. Per 8. oktober 2026 har H2O.ai 20 ledige stillinger på Metaintro. 8 ble publisert de siste 30 dagene. Flest er innen Artificial Intelligence/Machine Learning (4), Developer (3) og DevOps (3).
- Hvor rekrutterer H2O.ai?
- H2O.ai rekrutterer i Colombo, Dallas, San Francisco, Bengaluru, Canada og Germany, med flest ledige stillinger i Colombo.
- Tilbyr H2O.ai fjernarbeid eller hybridarbeid?
- 39 % av de ledige stillingene er hybride, og 55 % er fjernarbeid.
- Hvem er kundene til H2O.ai?
- H2O.ai oppgir 11 kunder, blant annet Deserve, Visión Banco, ArmadaHealth, Jewelers Mutual og センコーグループホールディングス株式会社.
- Hvilke ferdigheter ser H2O.ai etter?
- De ledige stillingene etterspør oftest Kubernetes, Python, AWS, Docker og PyTorch.