
Generative AI Model Developer
1 day ago
About the Role
- We are seeking a highly skilled Generative AI Model Developer to join our team.
Responsibilities:
- The successful candidate will be responsible for designing, developing, and implementing generative models using machine learning, deep learning, or Al research techniques.
- This role requires experience with transformer-based models such as GPT-3/4, BERT, DALL.E, and RAG for text generation, summarization, or translation tasks.
- Additionally, the successful candidate will design and train models for model fine-tuning, transfer learning, and prompt engineering in the context of large language models (LLMs).
- Collaboration with cross-functional teams is essential to integrate data applications built using Streamlit or similar tools into production environments.
- A strong understanding of transformer architecture, including multi-head attention, layer normalization, and residual connections, is also required.
Requirements:
- At least 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.
- Strong programming skills in Python and familiarity with relevant libraries and frameworks are essential.
- Proficiency with Hugging Face Transformers, PyTorch, or TensorFlow is also required.
Desirable Skills:
- Experience with Docker, Kubernetes, and MLOps is an advantage.
- Knowledge of CI/CD pipelines and model deployment best practices is also beneficial.
Your Career Benefits:
- Professional growth and development opportunities.
- Opportunities to work with cutting-edge technologies.
- Competitive salary and benefits package.
How to Apply:
- Please submit your resume and cover letter to us via email.
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