We are looking for a Data Scientist to join our projects and introduce GenAI technologies to our current processes.
Responsibilities:
- Design, test, and refine prompts for LLMs (e.g., GPT, LLaMA, Claude, Gemini) to improve response accuracy, reliability, and efficiency.
- Optimize zero-shot, few-shot, and chain-of-thought prompting techniques for various business use cases
- Fine-tune LLM interactions and integrate APIs from OpenAI, Anthropic, Hugging Face, or similar platforms.
- Analyze and mitigate issues like hallucination, bias, and token efficiency in AI-generated responses.
Requirements:
- Prompt Engineering Expertise - Strong experience in designing and optimizing prompts for LLMs and NLP models.
- NLP & LLM Knowledge - Familiarity with transformer models (e.g., GPT-4, BERT, T5, LLaMA) and vector embeddings.
- Python & AI Libraries - Proficiency in Python, LangChain, Hugging Face, OpenAI API, TensorFlow, PyTorch.
- Data Science & ML - Experience in predictive modeling, text classification, sentiment analysis, or generative AI.
If you are keen on the above position, reach out to Christopher Shepherdson (EA Licence No: 11C5502 | EAP Registration No: R1877011) at [Confidential Information] or contact +65 6818 3193 for a confidential chat.
