Keylent

Keylent

AI/ML Engineer--Need Local--F2F Mandate

Charlotte, North Carolina, USA · Contract

Sponsorship not specifiedDetected 57 days ago
PythonGitSnowflakeAWSDockerKubernetesAnsibleJenkinsDevOpsRESTMachine LearningData ScienceCommunicationCollaboration

About the role

  • Job Title: AI/ML Engineer (AI Engineer with AWS Skills) Location: Charlotte, NC (3 days per week in office required) Duration: Long Term Interview: 3 rounds of interviews (1 round in-person is mandatory) Desired Skills: AI/ML knowledge (not a data scientist but knowledge on AI/ML capabilities, patterns and integrations) Job Description: ·
  • Bachelor’s Degree in a related field (Computer Science, AI/ML). · 8 to 10 years of IT and business/industry development experience · 2 to 4 years of AI/ML knowledge (not a data scientist but knowledge on AI/ML capabilities, patterns and integrations) · Knowledge of data standards (security, ingestion, warehousing, storage)

Requirements

  • Bachelor’s Degree in a related field (Computer Science, AI/ML). &middot
  • 8 to 10 years of IT and business/industry development experience &middot
  • 2 to 4 years of AI/ML knowledge (not a data scientist but knowledge on AI/ML capabilities, patterns and integrations) &middot
  • Knowledge of data standards (security, ingestion, warehousing, storage) &middot
  • Experience with AWS product categories like Analytics, Application Integration, Compute, Database, Serverless. &middot
  • Experience with AI/ML &middot

Nice to have

  • Experience with Snowflake &middot
  • Experience with One or more data Integration Technologies (Matillion, Pentaho, Datastage, etc.). &middot
  • API’s, Apigee, Developer Portals.
  • Expertise in JSON, RESTful services, and similar related tech &middot
  • Expertise in R, Python and predictive analytics. &middot
  • Containers: Docker, Kubernetes, OpenShift, Ansible, Nexus, Software defined networking. &middot
  • DevOps/DevSecOps: Chef, Puppet, Jenkins, Packer, Git, GitHub Mandatory

Skills

  • Experience with AWS product categories like Analytics, Application Integration, Compute, Database, Serverless.
  • Strong communication and collaboration skills.
  • AI/ML knowledge (not a data scientist but knowledge on
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This listing is sourced directly from Keylent's careers page and normalized into a canonical job model.