AI/ML Architect - Vietnam Remotely
RackspacePosted 3/5/2025
AI/ML Architect - Vietnam Remotely
Rackspace
Job Location
Job Summary
We are seeking a seasoned AI/ML Architect to enhance our team. The role demands expertise in traditional Machine Learning & Artificial Intelligence engineering and infrastructure, with an emphasis on Generative AI based systems. The ideal candidate will have significant experience with machine learning frameworks, generative AI architectures, and public cloud services, particularly AWS. They will be responsible for developing and implementing automation and DevOps methodologies to establish a scalable Machine Learning and Artificial Intelligence infrastructure. This remote position requires exceptional communication skills and the ability to tackle complex challenges with innovative solutions. The successful candidate will engage in client sessions, prepare technical documentation, and maintain detailed records of their work. We value experience working with Sagemaker, Bedrock, and other AWS AI and Machine learning services, as well as expertise in cloud-based messaging/stream processing systems. A strong understanding of cloud-based technologies is essential for this role. The ideal candidate will have a Computer Science or software engineering degree and 10+ years of experience in customer-facing software/technology or consulting. They should also possess an AWS/Azure Cloud Professional level certification in AI/ML, Architecture and Data. With their expertise, they will play a crucial role in shaping the future of AI and contributing to groundbreaking projects.
Job Description
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
