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