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AI/ML Architect - Vietnam Remotely

extra holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Contract: 
Full time
Work from: 
Vietnam

Offer summary

Qualifications:

10+ years of experience in customer-facing software/technology or consulting., 5+ years of experience with on-premises to cloud migrations or IT transformations., Expertise in public cloud services, particularly AWS, with relevant certifications in AI/ML and architecture., Technical degree in Computer Science, software engineering, or a related field..

Key responsabilities:

  • Develop and implement automation and DevOps methodologies for scalable AI/ML infrastructure.
  • Engage actively in client sessions to understand and address their needs.
  • Prepare and maintain detailed technical documentation.
  • Design and execute automation strategies, including CI/CD and Infrastructure as Code.

Rackspace Technology logo
Rackspace Technology Large https://www.rackspace.com
5001 - 10000 Employees
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Job description

Job Title: AI/ML Architect (AWS) 
 
About the Role: 
We are on the lookout for a seasoned AI/ML Architect to enhance our talented team. The role demands an individual with significant expertise in both traditional Machine Learning & newer Artificial Intelligence engineering and infrastructure, with an emphasis on Generative AI based systems. A thorough knowledge of public cloud platforms, specifically AWS, is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions. 




What you will be doing

    • What you will be doing 
  • Develop and implement automation and DevOps methodologies, including CI/CD, Infrastructure as Code (IaC), and containerization, to establish a scalable Machine Learning and Artificial Intelligence infrastructure. 
  • Design and execute automation strategies, encompassing DevOps pipelines, scripting, and Terraform-based Infrastructure as Code. 
  • Engage actively in client sessions to understand and address their needs. 
  • Prepare and maintain detailed technical documentation. 

    • Requirements: 
  • Experienced with machine learning frameworks(TensorFlow, PyTorch) and libraries (e.g., scikit-learn).  
  • Proven hands-on experience with generative AI architectures, including design, training, and customization for LLM in text-to-text, image-to-text, and/or text-to-image projects. 
  • Implement and customize generative AI architectures and approaches such as finetuning transformer based LLMs using PEFT methods like LoRA, QLoRAetc 
  • Expertise in public cloud services, particularly in AWS.  
  • Experienced  working with Sagemaker, Bedrock and other AWS AI and Machine learning services.. 
  • Experience with AWS managed services and understanding of cloud-based messaging/stream processing systems are critical. 

    • Must Have 
  • AWS/ Azure Cloud Professional level certification in AI/ML, Architecture and Data. 
  • 10+ years of experience in customer-facing software/technology or consulting 
  • 5+ years of experience with “on-premises to cloud” migrations or IT transformations 
  • 5+ years of experience building, and operating solutions built on AWS (ideally) or Azure/GCP 
  • Technical degree: Computer Science, software engineering or related 

    •

    Required profile

    Experience

    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Generative Artificial IntelligenceMachine LearningAWS Cloud ServicesDevOpsStream ProcessingAccounting SoftwareTerraformCI/CDTensorFlowInfrastructure as Code (IaC)Google Cloud MessagingPyTorch (Machine Learning Library)

    Other Skills

    • Communication
    • Problem Solving
    Are you interested?

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