
Generative AI Specialist
4 days ago
We are seeking an experienced professional to lead our efforts in developing cutting-edge generative AI solutions.
- The ideal candidate will have a strong background in machine learning, deep learning, or AI research with a focus on generative models.
- Familiarity with GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models such as GPT-3/4, BERT, DALL.E is required.
- A deep understanding of model fine-tuning, transfer learning, and prompt engineering in the context of large language models is essential.
- Strong programming skills in Python and proficiency with relevant libraries and frameworks such as Hugging Face Transformers, PyTorch, or TensorFlow are necessary.
- Hands-on experience in building data applications using Streamlit or similar tools is also desired.
- Experience in training and deploying LLMs for tasks like text generation, summarization, or translation is a must.
- Familiarity with optimization strategies, including AdamW, learning rate warm-up, and advanced transformer variants such as Transformer-XL, Longformer, BigBird, LoRA is required.
- This role involves working closely with cross-functional teams to develop and deploy AI-powered solutions.
- The ideal candidate will be able to communicate technical ideas effectively and work collaboratively in a fast-paced environment.
- A solid understanding of debugging and performance tuning techniques is also essential.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- At least 3 years of experience in AI research, development, or deployment.
- Excellent communication and teamwork skills.
Good-to-Have Skills
- Experience with Docker, Kubernetes, and MLOps.
- Knowledge of CI/CD pipelines and model deployment best practices.
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