Roles & Responsibilities
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 cshepherdson@morganmckinley.com or contact +65 6818 3193 for a confidential chat.
Tell employers what skills you have
TensorFlow
Machine Learning
Big Data
Hadoop
Mathematics
Sentiment Analysis
Reliability
Text Classification
Data Mining
SQL
Predictive Modeling
Python
Statistics
Data Science
API
Data Analytics