- Be the trusted solutions advisor for our customers and partners and deliver technical professional
- Translate business cases and requirements into value based technical solutions through the
- Architect, design, and deliver end to end machine learning and data science solutions that help
- Communicate effectively with a diverse audience of internal and external stakeholders consisting of:
- Working closely with data scientists in advising and developing end to end machine learning
- Be involved in providing services that include installation, configuration and integration of machine
- 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 further
- Present at meetups and webinars in the Data Science community, and be an integral part of the Maker
- 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 end
- System/Cloud Architecture Skills
- Excellent understanding of system engineering concepts and good command of working in a linux
- Excellent understanding and implementation experience of the cloud ecosystem i.e. what solutions
- Excellent understanding and implementation experience with containers and container based
- Excellent understanding of distributed systems/services architecture and enterprise grade
- Good understanding and implementation/integration experience of LDAP, OAuth, OpenID, SSH, TLS,
- 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 Java
- Excellent understanding and experience at building data pipelines and processes supporting data
- 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 and
- 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
- Experience with Data Engineering pipelines
- Knowledge of basic statistical techniques and concepts (regression, properties of distributions,
- 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; desire
- Flexible work hours and time off.
- Opportunity to work closely with some of the best engineering talent and the best data scientists/Kaggle
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Solution Architect Devops - Minas Gerais, Brasil - H2O
Descrição
is the open source leader in AI with a mission to democratize AI for everyone. is transformingthe 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. For more information and to learn more about how is driving an AI Transformation,
visit
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 Paolo, Brazil. What You Will Doand Docker knowledge must have. Virtualization knowledge (vagrant etc.) is a plus.
Programming Languages/Frameworks
environments.
Additional Requirements
is an equal opportunity employer. We welcome and encourage diversity in the workplace
regardless of race, gender, sexual orientation, gender identity, disability or veteran status.
