Machine Learning Engineers

Job description

  • Develop and support internal community of ML related subject matter experts.
  • Design solutions that make the best use of cloud platform and AI/ML Services
  • Advise our client and assist them with cloud and digital transformation
  • Must possess strong mentorship abilities to train junior colleagues
  • Collaborate with business and technical stakeholders to gather requirements and convert them to generate appropriate systems design architecture documentation
  • Lead the design and implementation of PaaS services, constructs, and deployment methods including Database-as-a-Service, App Services, storage and automation
  • Implement PaaS and IaaS solutions in a public cloud platform such as Azure and AWS
  • Use Knowledge of identity and access management in on-premises solutions and the cloud inclusive of Azure AD Connect, ADFS, and third-party identity providers.
  • Define innovative solutions using concepts such as infrastructure-as-code, deployment orchestration, and automation templates
  • Use Office 365 architecture experience to implement Microsoft technologies such as SharePoint Online, Flow, and Teams.
  • Remain abreast of regulatory and compliance requirements to drive successful governance strategies
  • Ability to educate and influence stakeholders and engineering teams on effective cloud solutions and best practices

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