Conducting research, designing and implementing of state-of-the-art generative AI models and architectures, leveraging machine learning techniques to drive creative content generation, natural language processing and other AI-driven applications
Developing and optimizing ML algorithms and models to train and fine-tune generative AI systems using large-scale datasets, ensuring high-quality output that aligns with desired objectives and specifications
Exploring and experimenting with advanced ML techniques to enhance the performance, efficiency and scalability of generative AI models
Collaborating with data scientists and engineers to preprocess, clean and preparing datasets for training Generative AI models
Conducting rigorous testing and evaluation of AI models to ensure their reliability, stability and generalization capabilities
Staying up to date with the latest advancements in generative AI and ML development techniques, exploring new research papers, technologies and frameworks to continually enhance our AI capabilities