阿里巴巴LAZADA-PH Country Ops for Cross Border Business-Manila

1. Generative AI Model Development: -Design and develop generative AI models, including language models, image generation models, and multimodal models. -Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms, and self-supervised learning. -Conduct research and stay up-to-date with the latest advancements in the field of generative AI. 2. Data Acquisition and Preprocessing: -Identify and acquire relevant data sources for training generative AI models. -Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards. -Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance. 3. Model Training and Optimization: -Design and implement efficient training pipelines for large-scale generative AI models. -Leverage distributed computing resources, such as GPUs and cloud platforms, for efficient model training. -Optimize model architectures, hyperparameters, and training strategies to achieve superior performance and generalization. 4. Model Evaluation and Deployment: -Develop comprehensive evaluation metrics and frameworks to assess the performance, safety, and bias of generative AI models. -Collaborate with cross-functional teams to ensure the successful deployment and integration of generative AI models into client solutions. 5. Collaboration and Knowledge Sharing: -Collaborate with data engineers, software engineers, and subject matter experts to develop innovative solutions leveraging generative AI. -Contribute to the firm's thought leadership by presenting at conferences, and participating in industry events.

In Lazada, we believe that people and organizational strategy is as critical as business strategy to drive Lazada’s growth and impact in the Philippines. We are looking for a Talent Development Manager to collaborate with our business leaders to solve business and organizational challenges through people-related solutions. Reporting to the Country CPO (Chief People Officer), this role will work closely with business leaders to provide thoughtful and relevant solutions based on a deep understanding of the market, business and HR methodology, to shape business transformation, build organizational capability, leadership strength and a performance culture. Key tasks and responsibilities • Understand Lazada’s business and build strong relationships with stakeholders to co-create our talent strategy and implementation plan, and to ensure these are aligned with business priorities. • Act as a thought partner to the business in solving talent problems and identifying their root causes. Design and implement solutions to address these, collaborating with cross functional teams and supporting the talent agenda and needs of the organization. • Drive organization and people-related programs – new hire journey, leadership development, talent reviews, succession planning, performance management, learning and development initiatives, among others. • Leverage and balance qualitative and quantitative data to support decisions and drive programs to improve overall organization health and sustainability. • Advocate and be a role model of our company culture, driving initiatives improve the overall employee experience and to build and strengthen our desired culture.

• Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios.• Lead model training and evaluation efforts, including data preprocessing, fine-tuning, and inference optimization.• Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value.• Apply and adapt research ideas to solve practical challenges in reasoning, planning, memory, and alignment.• Monitor and improve model performance post-deployment through data-driven iteration and error analysis.• Contribute to technical discussions, model reviews, and best practices within the applied science community.

• Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios.• Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, code-gen based design.• Monitor and improve model performance post-deployment through data-driven iteration and error analysis.• Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value.• Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.