
Data Science Professional
2 days ago
Data Science Professional
As a key member of our data science group, you will be responsible for designing and developing advanced machine learning models that drive business value.
- Design and implement data pipelines using Python and various libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow.
- Fine-tune large language models (LLMs) and generative AI models using RAG (Retrieval-Augmented Generation) and LLM evaluation techniques.
- Experience deploying models using APIs, Docker, and cloud platforms.
- Develop and maintain vector databases and embedding techniques for efficient model deployment.
The ideal candidate will have strong analytical, problem-solving, and communication skills, with experience in ML Ops, model deployment, model lifecycle, and management.
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