
Unlocking AI Potential: Artificial Intelligence Engineer Role
5 days ago
Key Job Functionality
- We are seeking a highly skilled Artificial Intelligence Engineer to join our team in the development and implementation of cutting-edge AI solutions.
Core Competencies Required
- A minimum of 3 years of experience in machine learning, deep learning, or artificial intelligence research with a focus on generative models is essential.
- The ideal candidate will have hands-on 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).
- Understanding of model fine-tuning, transfer learning, and prompt engineering in the context of large language models (LLMs) is crucial.
- Strong programming skills in Python and familiarity with relevant libraries and frameworks are necessary.
- Experience in building data applications using Streamlit or similar tools is also required.
- Deep understanding of transformer architecture, including multi-head attention, layer normalization, and residual connections is vital.
- Proficiency with Hugging Face Transformers, PyTorch, or TensorFlow is essential.
- Experience in training and deploying LLMs for tasks like text generation, summarization, or translation is necessary.
- Familiarity with AdamW, learning rate warm-up, and optimization strategies is crucial.
- Exposure to advanced transformer variants (e.g. Transformer-XL, Longformer, BigBird, LoRA) is beneficial.
- Solid debugging and performance tuning skills are required.
Desirable Qualifications
- Experience with Docker, Kubernetes, and MLOps is advantageous.
- Knowledge of CI/CD pipelines and model deployment best practices is desirable.
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