Data Scientist

Looking for an innovative Data Scientist with expertise in Prompt Engineering. In this role, you will work at the intersection of Generative AI (GenAI), Large Language Models (LLMs), and Data Science, designing and optimizing prompts to enhance AI applications, automate workflows, and drive intelligent decision-making.

You will collaborate with AI/ML engineers, software developers, and product teams to build and refine AI-driven applications. If you're passionate about LLMs, NLP, and building AI-powered solutions, we want to hear from you!

Key Responsibilities

Prompt Engineering & AI Optimization

• 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.

Data Science & Machine Learning

• Develop and deploy machine learning models for NLP, text analytics, and predictive modeling.
• Work with structured and unstructured datasets to extract insights, automate decision-making, and drive AI use cases.
• Collaborate with ML engineers to fine-tune models and integrate AI solutions into business applications.
• Experiment with AI model customization, retrieval-augmented generation (RAG), and embeddings for knowledge retrieval.

Collaboration & AI Strategy

• Partner with product teams, and software engineers to integrate AI solutions into customer-facing applications.
• Educate internal teams on best practices in prompt engineering, AI safety, and ethical AI deployment.
• Stay up to date with emerging trends in AI, LLMs, and generative models to drive continuous innovation.

Key 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.
• Data Handling – Ability to work with large datasets, embeddings, and knowledge retrieval techniques.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054