AI/ML Architect

Summary

Join our team as a seasoned AI/ML Architect to enhance our talented team with expertise in traditional Machine Learning & newer Artificial Intelligence engineering and infrastructure, focusing on Generative AI based systems. A thorough knowledge of public cloud platforms, specifically AWS, is crucial.

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

Responsibilities

• 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