We are looking for a junior data scientist to bring their enthusiasm and hunger to learn to our clients projects.
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.
If you are keen on the above position, reach out to Christopher Shepherdson (EA Licence No: 11C5502 | EAP Registration No: R1877011) at [email protected] or contact +65 6818 3193 for a confidential chat.
Key Skills
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- Posted
- Feb 10, 2026
- Type
- Contract
- Level
- Associate
- Location
- Singapore
- Company
- Morgan McKinley
Industries
Categories
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