AI/ML Architect

Blueoriginitstaffing LLC
Plano, TX Remote Full Time
POSTED ON 4/12/2024 CLOSED ON 4/17/2024

What are the responsibilities and job description for the AI/ML Architect position at Blueoriginitstaffing LLC?

Job Details

Responsibilities:

  • Position yourself as a trusted advisor to business teams and partner with them to understand their requirements for cloud implementations
  • Provide recommendations to clients with respect to AI/ML implementations and prepare technical implementation roadmaps for adoption
  • Create application architecture, data architecture, deployment architectures, functional design specifications and assist with other project deliverables as needed.
  • Design state-of-the-art AI/ML solutions that address customers requirements for function, scalability, reliability, security, and performance
  • Collaborate with other project teams and other laterals such as Information Security, Compliance, Controls etc. on architectural solutions.


Qualifications

  • Should have a bachelor s degree in Computer Science or related field. Master s degree is preferred or equivalent Desired Experiences
  • 8 years of progressive hands-on experience in AI/ML application development with 5-6 years of AI/ML solution architecture, systems architecture and engineering, analysis and applications programming in AI related discipline. Technical team leadership role is preferred
  • A minimum of 5 years experience in working with a cloud provider (AWS or Azure)
  • AI/ML relevant AWS Professional Certification is preferred


Required Skills

  • Proven track record of implementing machine learning solutions, AI services and statistical analysis related projects in production
  • Technical leadership with analytical, problem solving and communication skills
  • Familiarity with cloud AI/ML platform offerings, features
  • Applied knowledge of Gen AI. Understanding of AI services for speech, vision and text.
  • Machine learning background with algorithms
  • Expertise in MLOps and dataops lifecycles and engineering implementation in enterprise
  • Ability to code in Python, Spark or R as a programming language
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