<div><b>Job Title: AI/ML Architect (AWS)</b><span> </span></div><div><span> </span></div><div><b>About the Role:</b><span> </span></div><div><span>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 &amp; 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. </span></div><div><br /></div><div><br /></div><div><br /></div><h3>What you will be doing </h3><ul><li><br /></li><div><b>What you will be doing </b></div><li>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. </li><li>Design and execute automation strategies, encompassing DevOps pipelines, scripting, and Terraform-based Infrastructure as Code. </li><li>Engage actively in client sessions to understand and address their needs. </li><li>Prepare and maintain detailed technical documentation. </li><div><br /></div><div><b>Requirements:</b> </div><li>Experienced with machine learning frameworks(TensorFlow, PyTorch) and libraries (e.g., scikit-learn).  </li><li>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. </li><li>Implement and customize generative AI architectures and approaches such as finetuning transformer based LLMs using PEFT methods like LoRA, QLoRAetc </li><li>Expertise in public cloud services, particularly in AWS.  </li><li>Experienced  working with Sagemaker, Bedrock and other AWS AI and Machine learning services.. </li><li>Experience with AWS managed services and understanding of cloud-based messaging/stream processing systems are critical. </li><div><br /></div><div><b>Must Have</b> </div><li>AWS/ Azure Cloud Professional level certification in AI/ML, Architecture and Data. </li><li>10+ years of experience in customer-facing software/technology or consulting </li><li>5+ years of experience with “on-premises to cloud” migrations or IT transformations </li><li>5+ years of experience building, and operating solutions built on AWS (ideally) or Azure/GCP </li><li>Technical degree: Computer Science, software engineering or related </li><li><br /></li></ul>

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AI/ML Architect - Vietnam Remotely

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