Solution Architect Consultant, H2O.ai
Hourly pay rate: CAD $58.00 - 80.00
Open-source AI cloud platform
Be an early applicant
Open-source AI cloud platform
201-500 employees
Be an early applicant
Hourly pay rate: CAD $58.00 - 80.00
201-500 employees
Company mission
To democratize AI for everyone.
Role
Who you are
- Bachelor’s or a higher education degree in Computer Science/Engineering
- Minimum 6-8 years of experience with cloud computing/Linux systems and architecting end to end data processing pipelines or data intensive enterprise solutions
- Excellent understanding and implementation experience with containers and containers-based orchestration frameworks and leveraging them in the development/solutioning process
- Kubernetes and Docker knowledge must have
- Excellent understanding of system engineering concepts and good command of working in a Linux based environment (OS fundamentals etc.) Ubuntu and CentOS/RHEL mainly
- Excellent understanding and implementation experience of the cloud ecosystem i.e. what solutions exist on the 3 major clouds (AWS, GCP, Azure) and when/how to use those components
- Excellent understanding of distributed systems/services architecture and enterprise grade solutions/software
- Good understanding and implementation/integration experience of LDAP, OAuth, OpenID, SSH, TLS, network connectivity, firewalls etc. that are required in any enterprise grade service architecture/solution
- Experience in Go, Python, Java, Bash scripting is good to have
- Experience in cloud IaaC skills like CloudFormation/Deployment Manager or Terraform
- Understanding of building data pipelines and processes supporting data transformation, data structures, metadata, dependency and workload management in ‘big data’ environments
- Experience of manipulating, processing and extracting value from large, disconnected datasets
- Excellent understanding and experience of SQL query language and working with relational databases
- Experience of NoSQL database types and understanding of their disparate application scenarios
- Excellent understanding and experience of deploying Large Language Models in a containerized environment
- Knowledge of overall Generative AI landscape and concepts
- Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
- Experience of working in a customer facing environment, providing technical services
- Excellent communication skills (verbal and written, English language). Additional languages a plus
- Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies
What the job involves
- This is a 3-month contract position based in Toronto, Ontario
- You will work closely with technical teams on the Customer side and Product Engineering, Enterprise Support and Sales teams on the H2O side
- 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 Machine Learning, Model Management, Generative AI and Cloud products in the customer environment/landscape
- Provide/gather customer feedback so that you can work with the H2O.ai Engineering team to further enhance our products
- 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
Our take
Dedicated to making the world of AI more accessible to everyone, H2O.ai provides a platform that supports the making and operating of AI for businesses. The platform boasts a range of capabilities; from automated machine learning and no-code deep learning, to AI-powered data labelling and extraction; as well as its most recently added "h2oGPT" that supplies enterprise generative AI.
With productivity, organisation and data analysis among the core parts to any business' success, AI and machine learning getting more and more popular - as they are able to outpace humans' ability to absorb, interpret, and make complex decisions quickly. It is no surprise then that H2O.ai has a grand roster of clients including GlaxoSmithKline, Capital One, and Paypal. It is also well-funded, and with such a comprehensive set of offerings it is in a great place to secure further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Nov 2021
$100m
SERIES E
Aug 2019
$72.5m
SERIES D
Total funding: $251.1m
Company benefits
- Remote-friendly culture
- Flexible working environment
- Career growth
Company HQ
Mountain View, CA
Leadership
Sri Satish Ambati
(Co-Founder & CEO)11 years experience in the Software and Engineering field prior to H2O.ai. Worked as Director of Engineering and Principal Engineer of DataStax.
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