AI / ML Engineer (AWS) - Hybrid - Sydney

Key Skills

Aartificial intelligence, AWS, Azure, Computer Vision (CV), Large Language Models - LLMs, Machine learning techniques, Python Programming

Job Description

Responsibilities:

• Utilize proven hands-on experience with Generative AI architectures to design, train, and customize LLM models for test-to-text, image-to-text, and/or text-to-image projects.
• Apply your expertise in ML for CV, including working with images, 3D data, video, VR/AR, multimodal data, and sensor fusion.
• Implement and customize generative AI architectures and approaches such as finetuning transformer based LLMs using PEFT methods like LoRA, QLoRAetc
• Collaborate with cross-functional teams to develop and deploy innovative solutions that leveragegenerative AI architectures.
• Independently think, problem-solve, and drive research and development initiatives in the field of Generative AI and related areas.
• Stay up to date with the latest advancements in the field of ML, DL, AI, and DS.

Requirements

• 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.
• Demonstrable experience in computer vision model such as YOLO, SAM, Florence, CLIP etc including finetuning of these models.
• Minimum of 5 years of coding experience in Python.
• Minimum of 5 years of experience in DS, ML, and/or AI.
• One full cycle project experience in AWS Data & AI Services – Glue, Sagemaker, Bedrock, EMR etc.