Founded in 2012, H2O.ai is at the forefront of the AI movement to democratize Generative AI. H2O.ai’s open-source Generative AI and Enterprise h2oGPT, combined with Document AI and the award-winning autoML Driverless AI, have transformed more than 20,000 global organizations and over half of the Fortune 500 and household brands, including AT&T, Commonwealth Bank of Australia, Chipotle, ADP, Workday, Progressive Insurance, and AES.

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

H2O.ai is at the forefront of the rapidly evolving MLOps landscape. Were leveraging MLOps to transform machine learning models from isolated, engineer-specific tools into robust, cloud-native services that are scalable and consistently available. Our approach is firmly rooted in Kubernetes, positioning our team at the cutting edge of cloud solutions.

As a Data Scientist in H2O.ai Professional Services team you will work closely with Data Science teams on the Customer side and Customer Success, Enterprise Support, Product Engineering and Sales teams on the H2O side.

What You Will Do

Deliver data science and/or machine learning professional services to the customer.
The services include implementing or helping the customer implement a machine learning model to a customer facing business problems using H2O.ai suite of machine learning products.
You will also be responsible for working closely with customer/H2O solution engineers/architects to implement end to end ML solutions with the ultimate goal of deploying the model to production. Your focus would be on the data science/modelling part of the solution.
Demonstrate ML solutions with engaging storytelling and technical accuracy.
Develop custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains.
Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance.
Help customers understand model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions. Basically, help gain their trust in the model.
Provide/gather customer feedback so that you can work with the H2O.ai Engineering team to further enhance our products.
Be the trusted solutions advisor for our customers and partners.
Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers, business people, partners, executives.
Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
Demonstrate machine learning solutions with engaging storytelling and technical accuracy.
Architect, design, and deliver Machine Learning and Data Science solutions.
Present at meetups and webinars in the Data Science community, and be an integral part of the Maker culture of creating the best products and solutions.

What We Are Looking For

Proven experience in data science, machine learning, and AI with a minimum of 2 years of hands-on experience.
Experience with solving machine learning problems using H2O products (plus), Python, R
Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques.
Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave (plus), or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi.
Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops (plus) MLFlow etc.
In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines
Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, 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.

How to Stand Out From the Crowd

Demonstrated expertise as a Kaggle Master or Grandmaster

Why H2O.ai?

Market Leader in Total Rewards
Remote-Friendly Culture
Flexible working environment
Be part of a world-class team
Career Growth

H2O.ai 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.

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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