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.

AI / ML Engineer (AWS) - Hybrid - Sydney

Requirements

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