AI/ML Data Architect (AWS) - Sydney- Hybrid
Australia - Sydney
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AI/ML Data Architect (AWS)Â
About the Role:Â 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.Â
What you will be doingÂ
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.Â
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.Â
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 âon-premises to cloudâ 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
About the Role:Â 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.Â
What you will be doingÂ
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.Â
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.Â
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 âon-premises to cloudâ 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
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Categories:
Architecture Jobs
Deep Learning Jobs
Machine Learning Jobs
Tags: Architecture AWS Azure CI/CD Computer Science Consulting DevOps Engineering GCP Generative AI LLMs LoRA Machine Learning Pipelines PyTorch SageMaker Scikit-learn TensorFlow Terraform
Regions:
Remote/Anywhere
Asia/Pacific
Country:
Australia
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