Key Facts

Remote From:

Canada

Full time

Mid-level (2-5 years)

75 - 87K yearly

English

Hard Skills

Other Skills

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Public Speaking
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Teamwork
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Verbal Communication Skills

Roles & Responsibilities

Bachelor's or higher degree in Computer Science or Engineering
At least 2 years of experience with cloud computing and Linux systems
Experience in a customer-facing environment providing technical services
Proficiency with Linux, Kubernetes, and cloud architectures; Python and shell scripting is a plus

Requirements:

Deliver technical professional services including installation, configuration, and integration of H2O Generative AI, ML, Model Management, and Cloud products in the customer environment
Translate business requirements into value-based technical solutions and architect ML workflows from data ingestion to model deployment
Design and implement end-to-end Predictive and Generative AI ML and Data Science solutions that demonstrate value from customers' investments
Communicate effectively with diverse stakeholders and represent the team at meetups/webinars, contributing to the Maker culture

H2O.ai

About H2O.ai

H2O.ai is the leading open source Generative AI and Machine Learning platform provider on a mission to democratize AI. It distills the technical prowess of 30 Kaggle Masters into straightforward AI cloud products for Generative AI and machine learning that solve powerful problems. Customers, community, and partners are strategic investors in H2O.ai building a long term vision for using AI for Good. H2O.ai’s AI Engines of distributed ML H2O-3, autoML Driverless AI, Hydrogen Torch and Document AI have transformed over 20,000 global organizations and over half of the Fortune 500 and household brands, including AT&T, Commonwealth Bank of Australia, PayPal, Chipotle, ADP, WorkDay, IFFCO-Tokio and AES. H2O.ai’s AI for Good program regularly 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. Join us on the movement at www.h2o.ai.

Company type: Scaleup

Founded: 2018

Company size: 201 - 500

Website LinkedIn See all jobs →

Job description

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. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai 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. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. 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.

For more information, visit www.h2o.ai.

About This Opportunity

As an Associate Solution Architect in H2O.ai Professional Services team you will work closely with Technical teams on the Customer side and Product Engineering, Enterprise Support and Sales teams on the H2O side.

This is a remote position in Canada and can be based in Ottawa, Canada.

What You Will Do

Under mentorship of the Team you will:

Be the trusted solutions advisor for our customers and partners and deliver technical professional services to the customer.
Own and deliver services that include installation, configuration and integration of H2O Generative AI, Machine Learning, Model Management, and Cloud products in the customer environment/landscape.
Provide/gather customer feedback to work with the H2O.ai Engineering team for product improvements.
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.
Architect, design, and implement end to end Predictive and Generative AI Machine Learning and Data Science solutions that help customers realize the value of their investments in H2O.ai products and services.
Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers, business people, partners, executives.
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

Bachelor’s or a higher education degree in Computer Science/Engineering
Minimum 2 years of experience with cloud computing/linux systems.
Linux, Kubernetes, Cloud must have and python and shell scripting good to have.
Experience of working in a customer facing environment, providing technical services
Excellent communication skills (verbal and written, English language). Additional languages a plus.
Amicable attitude. Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies. Maker mindset.

How to Stand Out From the Crowd

Kubernetes, Linux, and Cloud Architecture Skills

Excellent understanding of system engineering concepts and good command of working in a linux based environment (OS fundamentals etc). Ubuntu and CentoOS/RHEL mainly.
Excellent understanding and implementation experience of the cloud ecosystem i.e. what solutions exist on one of the 3 major clouds (AWS, GCP, Azure) and when/how to use those components
Excellent understanding and implementation experience with containers and container based orchestration frameworks. Kubernetes (experience with one of the multiple distros like Openshift, and hosted solutions like AKS, EKS and GKE) must have.
Good understanding of LDAP, OAuth, OpenID, SSH, TLS, network connectivity, firewalls etc that are required in any enterprise grade service architecture/solution

Programming Languages/Frameworks

Experience in Python, shell scripting is good to have.

Why H2O.ai?

Market leader in total rewards
Remote-friendly culture
Flexible working environment
Be part of a world-class team
Career growth
Base Salary : $75,000 - 87,000 CAD plus bonus and benefits

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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