Description

Design and develop advanced generative models for content, text, and image generation.

Responsibilities

• Design and develop generative AI models including transformer architectures, VAEs, and GANs.
• Optimize deep learning models for large-scale training and inference on GPU and cloud infrastructure.
• Process large datasets using data cleaning, feature engineering, and augmentation techniques.
• Evaluate model performance through rigorous testing, validation, and fine-tuning.
• Integrate models into applications by collaborating with cross-functional teams.

Required Skills

• 4+ years of experience in machine learning and AI development.
• Proficiency in Python and PyTorch.
• Experience building and deploying models such as GPT, BERT, DALL-E, or Stable Diffusion.
• Strong programming skills in Java.
• Deep understanding of Natural Language Processing (NLP), embeddings, and language models.
• Expertise in deep learning techniques including CNNs, RNNs, and attention mechanisms.
• Practical experience with transformers, GANs, and Variational Autoencoders (VAEs).
• Ability to handle large-scale datasets and perform data preprocessing.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science