Found Description
About the Role
Key Responsibilities
- Fine-tune pre-trained models using domain-specific datasets and LLM architectures (e.g., GPT, LLaMA)
- Implement, evaluate, and improve ML pipelines to enhance model performance
- Design efficient training workflows and optimize inference performance
- Work with cross-functional teams to integrate ML and LLM capabilities into products
- Conduct rigorous testing and benchmarking of ML and LLM modelsUtilize OpenAI libraries and frameworks to experiment with and deploy LLM-based solutions
Required Skills And Experience
- Experience with ML algorithms, statistical modelling, and predictive analytics
- Proficiency in data preprocessing, feature engineering, and model evaluation
- Strong coding skills in Python and R, along with experience using relevant libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy, caret, and OpenAI SDKs
- Experien...
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