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13 hours ago
Join a team seeking an expert in Generative AI Model Development.
- The ideal candidate will have 3+ years of experience in machine learning, deep learning, or AI research, with a focus on generative models.
- They should be familiar with various 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.
- A strong understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMs) is required.
- The candidate must possess strong programming skills in python and familiarity with relevant libraries and frameworks.
- Hands-on experience in building data applications using Streamlit or similar tools is essential.
- Deep knowledge of transformer architecture, including multi-head attention, layer normalization, and residual connections is needed.
- Proficiency with Hugging Face Transformers, PyTorch or TensorFlow is necessary.
- Experience in training and deploying LLMs for tasks like text generation, summarization, or translation is highly valued.
- Familiarity with AdamW, learning rate warm-up, and optimization strategies is also desired.
- Exposure to advanced transformer variants (e.g., Transformer-XL, Longformer, BigBird, LoRA) is beneficial.
- Solid debugging and performance tuning skills are crucial.
Bonus Requirements:
- Experience with Docker, Kubernetes, and MLOps would be advantageous.
- Knowledge of CI/CD pipelines and model deployment best practices is highly valuable.
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