C5i - Generative AI Engineer - Large Language Models

About C5i

Required Skills

• 3+years of experience in machine learning, deep learning, or Al research, With a focus on generative models.
• Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E) RAG and Prompt Engineering.
• Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).
• Strong programming skills in python and familiarity with relevant libraries and frameworks.
• Hands-on experience in building data applications using Streamlit or similar tools.
• Deep understanding of transformer architecture, including multi-head attention, layer normalization, and residual connections.
• Proficiency with Hugging Face Transformers, PyTorch or TensorFlow.
• Experience in training and deploying LLMs for tasks like text generation, summarization, or translation.
• Familiarity with AdamW, learning rate warm-up, and optimization strategies.
• Exposure to advanced transformer variants (e.g., Transformer-XL, Longformer, BigBird, LoRA).
• Solid debugging and performance tuning skills.
  

Good-to-Have

• Experience with Docker, Kubernetes, and MLOps.
• Knowledge of CI/CD pipelines and model deployment best practices.