Key Responsibilities
- Develop and implement cutting-edge generative AI models to solve complex business problems
- Perform prompt engineering and design effective prompts for functional use cases
- Fine-tune leading large language models (e.g., Llama2, Dolly) for domain-specific applications
- Preprocess and clean large datasets, perform feature engineering, and ensure data integrity
- Utilize word embeddings and vector databases (e.g., Pinecone, Milvus) for AI model optimization
- Apply statistical techniques including regression analysis, time series analysis, and clustering
Requirements
- Strong proficiency in Python and data manipulation libraries
- Hands-on experience with NLP, deep learning, and transformer architectures
- Exposure to LLM fine-tuning and generative AI model development
- Experience with vector databases and statistical analysis methodologies
- Ability to perform real-time coding assessments during interviews