Rackspace Technology

AI/ML Architect - Vietnam Remotely


PayCompetitive
LocationRemote
Employment typeFull-Time

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  • Job Description

      Req#: 83726a24-f09d-40d1-9320-babced9ccc01

      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.




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      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


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  • About the company

      Rackspace Technology, Inc. is an American managed cloud computing company based in Windcrest, Texas, USA.

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