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Junior Architect (AI Engineer with AWS Skills)

TechDigital

  • Charlotte, NC
  • 20 days ago

    Highlights

    Job Summary: We are seeking an experienced Architect with 8 to 10 years of expertise in AWS Machine Learning, Docker, AI & ML concepts, Machine Learning, Artificial Intelligence, and Kubernetes. Nice to have Experience with one or more data Integration Technologies, Matillion, Pentaho, DataStage, etc APIs, Apigee, Developer Portals.

    Numbers & Facts

    LocationCharlotte, NC
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    Desired Skills:
    AI/ML knowledge (not a data scientist but knowledge of AI/ML capabilities, patterns, and integrations)

    Job Summary:
    • We are seeking an experienced Architect with 8 to 10 years of expertise in AWS Machine Learning, Docker, AI & ML concepts, Machine Learning, Artificial Intelligence, and Kubernetes.
    • The role involves designing and implementing innovative solutions to drive business success.
    • This hybrid role offers the opportunity to work in a dynamic environment during day shifts, with no travel required.

    Responsibilities:
    • Bachelor's Degree in a related field, Computer Science, AI, and 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 of AI/ML capabilities, patterns, and integrations
    • Knowledge of data standards, security, ingestion, warehousing, and storage. Validated knowledge of successful design, architecture, and development using AWS Cloud technologies.
    • Experience with AWS product categories like Analytics, Application Integration, Compute, Database, and Serverless.
    • Experience with Snowflake
    • Experience with AI ML. Collaborate with Agile teams to recommend the right architectures with high quality and software standard methodologies.
    • Strong communication skills.
    • Nice to have Experience with one or more data Integration Technologies, Matillion, Pentaho, DataStage, etc APIs, Apigee, Developer Portals.
    • Expertise in JSON, RESTful services, and related tech
    • Expertise in R, Python, and predictive analytics. Docker containers, Kubernetes, OpenShift, Ansible, Nexus, Software-defined networking.
    • DevOps DevSecOps: Chef, Puppet, Jenkins, Packer, Git, GitHub Mandatory Skills Knowledge of data standards, security, ingestion, warehousing, storage Validated knowledge of successful design, architecture, and development using AWS Cloud technologies.
    • Experience with AWS product categories like Analytics, Application Integration, Compute, Database, and Serverless.
    • Strong communication and collaboration skills.
    • Desired Skills: AI/ML knowledge, not a data scientist, but knowledge of AI/ML capabilities, patterns, and integrations
    • Experience with Snowflake.

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