AI/ML Architect (AWS)

What you will be doing

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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 
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