Solution Architect Devops - Ituiutaba, Brasil - H2O

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About This Opportunity
is the open source leader in AI with a mission to democratize AI for everyone. is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O.
More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance,
Healthcare, Retail, Telco, Sales and Marketing.

H2O Driverless AI uses "AI to do AI" in order to provide an easier, faster and cost-effective means of implementing data science.

partners with leading

technology companies such as NVIDIA, IBM, AWS, Intel, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxes.

We're looking for an experienced Solution Architect to join our Professional Services team.

You will work closely with technical teams on the customer side and Customer Success, Enterprise Support, Product Engineering and Sales teams on the side.

This role is based in Sao Paulo, Brazil.

What You Will Do Be the trusted solutions advisor for our customers and partners and deliver technical professionalservices to the customer.

Translate business cases and requirements into value based technical solutions through thearchitecture of machine learning workflows and systems from data ingestion to model deployment.

Architect, design, and deliver end to end machine learning and data science solutions that helpcustomers realize the value of their investments in products and services.

Communicate effectively with a diverse audience of internal and external stakeholders consisting of:
engineers, business people, partners, executives.

Working closely with data scientists in advising and developing end to end machine learningsolutions (from a data engineering perspective) for the customer requirements.

Be involved in providing services that include installation, configuration and integration of machinelearning, model management and cloud products in the customer environment/landscape.

Responsible for helping the customer to integrate the machine learning models/pipelines (python and mojo scoring pipelines) with customer systems Provide/gather customer feedback so that you can work with the Engineering team to furtherenhance our products.

Present at meetups and webinars in the Data Science community, and be an integral part of the Makerculture of creating the best products and solutions.

What You Bring Bachelor's or a higher education degree in Computer Science/Engineering Minimum 6 to 8 years of experience with cloud computing/linux systems and architecting end to enddata processing pipelines or data intensive enterprise solutions Excellent understanding of system engineering concepts and good command of working in a linuxbased environment (OS fundamentals etc).

Ubuntu and CentoOS/RHEL mainly. Excellent understanding and implementation experience of the cloud ecosystem i.e.

what solutionsexist on the 3 major clouds (AWS, GCP, Azure) and when/how to use those components Excellent understanding and implementation experience with containers and container basedorchestration frameworks and leveraging them in the development/solutioning process.

Kubernetesand Docker knowledge must have. Virtualization knowledge (vagrant etc.) is a plus.

Excellent understanding of distributed systems/services architecture and enterprise gradsolutions/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/solutionProgramming Languages/Frameworks Experience in Python, Java, Bash scripting is a must have.

Go, R, Groovy, Scala are a plus Experience in cloud IaaC sdks like CloudFormation/DeploymentManager or Terraform Experience in configuration management tools like Ansible, chef etc.

Experience with writing REST API using micro services frameworks in Python or JavaData Excellent understanding and experience at building data pipelines and processes supporting datatransformation, 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 with big data tools like Hadoop and Spark/Kafka for batch andstreaming processing of data. 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 About This Opportunity
is the open source leader in AI with a mission to democratize AI for everyone. is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O.
More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance,
Healthcare, Retail, Telco, Sales and Marketing.

H2O Driverless AI uses "AI to do AI" in order to provide an easier, faster and cost-effective means of implementing data science.

partners with leading

technology companies such as NVIDIA, IBM, AWS, Intel, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxes.

We're looking for an experienced Solution Architect to join our Professional Services team.

You will work closely with technical teams on the customer side and Customer Success, Enterprise Support, Product Engineering and Sales teams on the side.

This role is based in Sao Paulo, Brazil.

What You Will Do Be the trusted solutions advisor for our customers and partners and deliver technical professionalservices to the customer.

Translate business cases and requirements into value based technical solutions through thearchitecture of machine learning workflows and systems from data ingestion to model deployment.

Architect, design, and deliver end to end machine learning and data science solutions that helpcustomers realize the value of their investments in products and services.

Communicate effectively with a diverse audience of internal and external stakeholders consisting of:
engineers, business people, partners, executives.

Working closely with data scientists in advising and developing end to end machine learningsolutions (from a data engineering perspective) for the customer requirements.

Be involved in providing services that include installation, configuration and integration of machinelearning, model management and cloud products in the customer environment/landscape.

Responsible for helping the customer to integrate the machine learning models/pipelines (python and mojo scoring pipelines) with customer systems Provide/gather customer feedback so that you can work with the Engineering team to furtherenhance our products.

Present at meetups and webinars in the Data Science community, and be an integral part of the Makerculture of creating the best products and solutions.

What You Bring Bachelor's or a higher education degree in Computer Science/Engineering Minimum 6 to 8 years of experience with cloud computing/linux systems and architecting end to enddata processing pipelines or data intensive enterprise solutions System/Cloud Architecture Skills Excellent understanding of system engineering concepts and good command of working in a linuxbased environment (OS fundamentals etc).

Ubuntu and CentoOS/RHEL mainly. Excellent understanding and implementation experience of the cloud ecosystem i.e.

what solutionsexist on the 3 major clouds (AWS, GCP, Azure) and when/how to use those components Excellent understanding and implementation experience with containers and container basedorchestration frameworks and leveraging them in the development/solutioning process.

Kubernetesand Docker knowledge must have. Virtualization knowledge (vagrant etc.) is a plus.

Excellent understanding of distributed systems/services architecture and enterprise gradsolutions/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/solutionProgramming Languages/Frameworks Experience in Python, Java, Bash scripting is a must have.

Go, R, Groovy, Scala are a plus Experience in cloud IaaC sdks like CloudFormation/DeploymentManager or Terraform Experience in configuration management tools like Ansible, chef etc.

Experience with writing REST API using micro services frameworks in Python or JavaData Engineering Skills Excellent understanding and experience at building data pipelines and processes supporting datatransformation, 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 with big data tools like Hadoop and Spark/Kafka for batch andstreaming processing of data. 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 Data Science skills Experience with Data Engineering pipelines Knowledge of basic statistical techniques and concepts (regression, properties of distributions,statistical tests and proper usage, etc.) Additional Requirements Experience of working in a customer facing environment, providing technical services Excellent verbal and written communication skills Must be fluent in Portuguese and English Amicable attitude.

Aptitude to independently investigate and find solutions to technical problems; desireto learn/master new technologies. Maker mindset.

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

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.
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.
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