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AIML ARCHITECT

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Job Location drjobs

Mclean - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Job Title: AI/ML ARCHITECT
Location: McleanVA
Duration: 12 Months
Visa: USC GC H1B and EAD
Contract Type: W2

Job Description

As an Applied AI/ML Architect you will be responsible for leading architectural decisions for the Cloud Data and Infrastructure Architecture Portfolio. You must have a deep understanding of technical architecture and have implemented AI/ML solutions in a cloud environment. Knowledge of industry best practices around enterprise AI/ML adoption security architectures and patterns. Exposure and a good understanding of the Data Architecture principles (such as data mesh knowledge graph data ontology) is a plus. Technical experience with multicloud environments (AWS Azure GCP) is a plus. Strong interpersonal communications skill is required.

Qualifications

  • Should have a bachelors degree in computer science or related field. Masters degree is preferred or equivalent Desired Experiences
  • 8 years of progressive handson experience in AI/ML application development with 56 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)
  • Exposure to large scale ML systems design and deployment
  • AI/ML relevant AWS Professional Certification is preferred
  1. Required Skills
  • Proven track record of implementing machine learning solutions AI services and statistical analysis related projects in production
  • Deep understanding of GenAI models (GPT LLAMA 3 etc.)
  • 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

Employment Type

Full Time

Company Industry

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