Senior AI Cloud Architect

MACHINE LEARNING TECHNOLOGIES LLC

Minneapolis (MN)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

MACHINE LEARNING TECHNOLOGIES LLC is hiring for the position of Senior AI Cloud Architect in Minneapolis, MN. The role demands extensive knowledge in cloud architecture, serverless computing, and enterprise solutions.

Applicants should possess a Bachelor's degree and 5-7 years of relevant experience. This position supports diverse technical configurations and values equal opportunity within the hiring process.

Qualifications

  • Bachelors degree in Computer Science, Engineering or related technical field; or related work experience.
  • 5-7+ years of relevant work experience required.
  • Deep experience in serverless computing and PaaS products.

Responsibilities

  • Architect data pipelines from System of Records to lake warehouses.
  • Explain technical solutions to both technical and non-technical teams.
  • Design and support complex enterprise solutions.

Skills

Serverless computing
Kubernetes
Public cloud providers (AWS, Azure, Google Cloud)
Machine Learning
Enterprise architecture

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Tomcat
Apache HTTP
Microsoft IIS

Job description

Job Overview

Job ID: J52960

Job Title: Senior AI Cloud Architect

Location: Minneapolis, MN

Duration: 24 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Summary

Required Qualifications

  • Bachelors degree (4-years) in Computer Science, Engineering or related technical field; or related work experience.
  • 5-7+ years of relevant work experience required.
  • Deep experience in serverless computing and PaaS products, container orchestration products such as Kubernetes and associated technologies, application and web servers such as Apache Tomcat, Apache HTTP and Microsoft IIS
  • Experience in public cloud providers such as AWS, Azure and Google Cloud Platform
  • Broad experience across architecture practices (data, infrastructure, applications and security) with depth of experience in at least one area.
  • Has experience in architecting data pipelines from the System of Records (SOR) to architecting lake warehouses.
  • Knowledge of Machine Learning and Generative AI use cases
  • Knowledge of Enterprise-wide architecture and ability to 'see the big picture' and how it affects current and future technologies.
  • Internal/External consulting experience that spans organizational boundaries and includes influencing technology and business leaders.
  • Depth of experience in the architecture, design, implementation and support of complex enterprise solutions.
  • Exposure to multiple, diverse technical configurations, technologies, and process improvements.

Preferred Qualifications

  • Significant business knowledge and have one or more areas of concentrated technical expertise.
  • Demonstrated ability to explain highly technical solutions to technical and non-technical teams.
Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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