
Gen AI Engineer
1 week ago
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
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