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AI/ML Data 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
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 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
Rackspace Technology Sydney, New South Wales, AUS Office
Sydney, Australia
