Key Responsibilities
- Collect and prepare data for training and evaluating multimodal foundation models, including cleaning, processing text data, and creating synthetic data
- Develop and optimize large-scale language models such as GANs and VAEs for generative AI applications
- Work on language modeling, text generation, understanding, and contextual comprehension tasks
- Regularly review and fine-tune large language models to ensure accuracy and relevance for custom datasets
- Build and deploy AI applications on cloud platforms like Azure, GCP, or AWS
- Integrate AI models with company data to enhance existing applications
Requirements
- Strong foundation in machine learning, deep learning, and computer science
- Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers)
- Proficiency in Python and AI-centric libraries like TensorFlow, PyTorch, and Keras
- Experience with natural language processing (NLP) and computer vision
- Knowledge of cloud services (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes