Total 2 solution architect job vacancies in Singapore

Descriptions:

• Design and optimize large language models, devise fine-tuning strategies, and streamline the training process.
• Explore deep learning architectures like Seq2Seq, Transformer, and advanced techniques including Fine-tuning, Prompt Engineering, and Soft Prompting (SFT).
• Develop systems for efficient model training and deployment, involving data preprocessing, parallel training, and resource management.
• Establish performance evaluation systems and monitor training metrics to ensure model quality and iteration efficiency.

Requirements:

• Bachelor degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields.
• LLM. AIGC required.
• At least 1 year of relevant experience.

Job Overview:

As an AIGC/ Gen AI architect, you will be responsible for pushing the boundaries of image & video generation technology for online AI applications. You will design and implement advanced image & video generation models capable of generating target images with different styles (e.g., in news, gaming applications). Additionally, you will stay abreast of the latest research developments in the image & video generative-AI technology field to ensure our solutions remain industry-leading.

As an AIGC/ Gen AI architect in Singapore, you will design and implement image & video generation models to support the content generation tasks in AI application. Key domains of focus include text to image generation, image to image generation, text to video generation, and image to video generation.

Responsibilities:

• Investigate and apply the latest image/video generation models for various AI applications (e.g., gaming and news).
• Design and develop the text to image, image to image, text to video generation methods based on application objectives.
• Fine-tune the image and video generation models based on different targets, e.g., to generate images/video in different styles.
• Develop and train other relevant models (e.g., LoRA, ControlNet) to optimize generative content quality.
• Model inference and speed optimization to achieve online application latency requirements.
• Ability to identify the reasons on generated image/video quality issues, and find out possible solutions.

Requirements:

• Bachelor’s degree or above in Computer Science, Artificial Intelligence, Electronic Engineering, Data Science, or related fields.
• A minimum of 2-5 years of hands-on experience with the latest image or video generation models, such as SDXL, SD 3 Medium, Stable Video Diffusion, etc.
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) with experience in building end-to-end online image/video generation applications (e.g., for chatbots/agents).