Senior Artificial Intelligence Developer
6 days ago
Our team is seeking a talented Gen AI Engineer to join our dynamic group of experts. The ideal candidate will possess exceptional skills in developing and implementing cutting-edge artificial intelligence technologies.
">- The successful candidate will have 3+ years of experience in machine learning, deep learning, or Al research, with a focus on generative models.
- They should be proficient in using generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E)
- A deep understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS) is also required.
- Strong programming skills in python and familiarity with relevant libraries and frameworks are necessary.
- Hands-on experience in building data applications using Streamlit or similar tools is highly valued.
- The ideal candidate will have a deep understanding of transformer architecture, including multi-head attention, layer normalization, and residual connections.
- 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 highly desirable.
- Familiarity with AdamW, learning rate warm-up, and optimization strategies is also beneficial.
- Exposure to advanced transformer variants (e.g., Transformer-XL, Longformer, BigBird, LoRA) is an added advantage.
- Solid debugging and performance tuning skills are required.
Benefits
The Gen AI Engineer will have the opportunity to work on exciting projects, collaborate with a talented team, and grow professionally in a dynamic environment.
Good-to-Have
Experience with Docker, Kubernetes, and MLOps is a plus, as well as knowledge of CI/CD pipelines and model deployment best practices.
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