AI工程師

Job A: GenAI Solution Engineer Responsibilities: 1. Develop and fine-tune generative AI models (e.g., Llama, Mixtral, Diffusion Models, Multimodal Models) using PyTorch. 2. Integrate domain-specific data into the training process, addressing data preprocessing, augmentation, and labeling needs. 3. Monitor and evaluate model performance using metrics, identifying and resolving issues related to convergence, overfitting, and underfitting. 4. Design and implement training pipelines, ensuring scalability, efficiency, and reproducibility. 5. Collaborate with cross-functional teams to define requirements, evaluate model performance, and optimize training processes. Skills and Tools: 6. Proficiency in Linux, Docker, and familiarity with MLOps is a plus. Skills and Tools: • Deep learning frameworks such as TensorFlow and PyTorch. • Data preprocessing and augmentation techniques. • Feature engineering and model evaluation. • Proficient in Python programming and software engineering. • Data cleaning and visualization. • Expertise in Linux and Docker containerization. • MLOps pipeline design and maintenance. • Version control systems (e.g., Git). • Deep learning hardware acceleration (e.g., GPU). • Strong communication and teamwork skills. ---------------------------------- Job B: GenAI Architecture Engineer Responsibilities: 1. Research state-of-the-art models, staying updated on trends and advancements in the field. 2. Optimize memory and performance during the training and inference processes. 3. Conduct performance analysis related to computation and bandwidth. 4. Familiarity with Linux and Docker is considered an advantage. Skills and Tools: • Research and development of deep learning models and algorithms. • High-performance computing and memory management. • Model compression and optimization techniques. • Proficient in Python programming and scientific libraries. • Experimental design and statistical analysis. • Proficiency in the Linux operating system. • Docker containerization. • GPU-accelerated computing. • Academic research and paper writing. • Strong communication skills and problem-solving abilities. Ensure that your resume highlights these skills and experiences in a professional format with proper formatting and grammar. This will enhance your chances of success in your job applications.