Technical Skills :

- Algorithm Development : Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence process

- Model Creation : Develop and validate algorithms, neural networks, and other machine learning models.

- Generative AI : Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music.

- Machine Learning : Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation.

- Natural Language Processing (NLP) : Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT.

- Data Management : Handle data pre-processing, augmentation, and synthetic data generation.

Hard Skills :

- Advanced Programming : Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras.

- Generative Models : Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).

- NLP : Familiarity with NLP techniques for text generation.

- Data Management : Knowledge of data pre-processing, augmentation, and synthetic data generation.

Hard Skills :

- Creativity : Ability to think creatively and solve complex, creative challenges using AI.

- Collaboration : Work effectively with researchers, engineers, and other team members.

- Continuous Learning : Stay updated with evolving AI technologies and applications.

Certifications Needed :

- Bachelor's or master's degree in computer science, Artificial Intelligence, or related fields.

- Proven experience in machine learning, generative AI