Sr. Data Scientist, Professional Services ID de vacante: 2783747 | Beijing Century Joyo Information Technology Co., Ltd. Shenzhen Branch The Senior Data Scientist plays a crucial role in driving the development and implementation of cutting-edge generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with strong problem-solving skills and a passion for innovation. Key job responsibilities Generative AI Model Development: - Design and develop state-of-the-art 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. 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. 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. 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. - Monitor and maintain deployed models, ensuring their continued performance and adherence to ethical and regulatory standards. Collaboration and Knowledge Sharing: - Collaborate with data engineers, software engineers, and subject matter experts to develop innovative solutions leveraging generative AI. - Mentor and guide junior data scientists, fostering knowledge sharing and promoting best practices in the field of generative AI. - Contribute to the firm's thought leadership by publishing research papers, presenting at conferences, and participating in industry events. Minimum Requirements: - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - Extensive experience (5+ years) in developing and deploying machine learning models, with a strong focus on generative AI techniques. - Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Excellent problem-solving, analytical, and critical thinking skills. - Ability to communicate complex technical concepts to both technical and non-technical audiences. - Experience with large language models, such as Claude, GPT, BERT, or T5. - Knowledge of generative adversarial networks (GANs) and their applications in image generation or other domains. - Familiarity with reinforcement learning techniques and their applications in generative AI. - Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices. - Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask). - Strong publication record in top-tier conferences and journals in the field of generative AI or related areas. - Excellent communication, collaboration, and leadership skills. #J-18808-Ljbffr