You will be redirected to the company career page

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.
  • 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.
  • 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

Job Summary

CompanyRackSpace
LocationVietnam - Remote
TypeFull-Time
LevelLead
DomainOther