Jr. Architect (AI Engineer with AWS)

Hybrid in Charlotte, NC, US • Posted 16 hours ago • Updated 16 hours ago
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Jr. Architect
  • AI Engineer
  • AWS
  • AI/ML
  • Python
  • DevOps
  • Puppet
  • GitHub
  • Jenkins
  • Packer

Summary

Desired Skills: AI/ML knowledge (not a data scientist but knowledge on 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: Job Description 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 on AI ML capabilities, patterns and integrations 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, 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 similar related tech Expertise in R, Python and predictive analytics. Containers Docker, 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, Serverless. Strong communication and collaboration skills. Desired Skills AI ML knowledge not a data scientist but knowledge on AI ML capabilities, patterns and integrations Experience with Snowflake.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90607521
  • Position Id: 9029690
  • Posted 16 hours ago
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