Top Benefits
About the 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
Benefits
- Remote-friendly culture
- Flexible working environment
- Career growth
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.
Top Benefits
About the 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
Benefits
- Remote-friendly culture
- Flexible working environment
- Career growth
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.