Vaga de Solution Architect DevOps
1 vaga: | Publicada em 21/05
- A Combinar
Sobre a vaga
About This Opportunity
H2O.ai is the open source leader in AI with a mission to democratize AI for
everyone. H2O.ai 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. H2O.ai 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 H2O.ai 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 H2O.ai
products and services.
Communicate effectively with a diverse audience of internal and external
stakeholders consisting of:engineers, business people, partners, executives.
Working closely with H2O.ai 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 H2O.ai 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 H2O.ai 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
Bachelors 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 dataenvironments.
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
H2O.ai is the open source leader in AI with a mission to democratize AI for
everyone. H2O.ai 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. H2O.ai 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 H2O.ai 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 H2O.ai
products and services.
Communicate effectively with a diverse audience of internal and external
stakeholders consisting of:engineers, business people, partners, executives.
Working closely with H2O.ai 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 H2O.ai 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 H2O.ai 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
Bachelors 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 dataenvironments.
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 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. Weve 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 worlds 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 companys purpose.
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