Data Architect for AI/ML Solutions

2 weeks ago

Sydney, New South Wales, Australia Rackspace Full time
About the Role:

We are seeking a seasoned AI/ML Architect to enhance our talented team. The ideal candidate will have 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.

Key Responsibilities:
  • 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 (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, QLoRA, etc.
  • 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 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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