Full Time Data Scientist Jobs, in K&K Global Talent Solutions INC. - Ricebowl

K&K Global Talents is an international recruiting agency that has been providing technical resources globally since 1993. This position is with one of our clients in Singapore who is actively hiring candidates to expand their teams.

Title: Data Scientist

Location: Singapore

Employment Type: Full-time Permanent

Tech Stack: Python, LLMs, Azure OpenAI, Llama, Prompt Engineering, RAG, Vector Databases (FAISS, Pinecone, Azure AI Search), Agentic AI, Semantic Kernel, NLP, REST APIs, Data Pipelines

Required Experience: 7+ Years

Role

We are seeking an experienced Data Scientist with strong expertise in Large Language Models (LLMs), Prompt Engineering, and AI-driven data processing. The ideal candidate will have hands-on experience building intelligent solutions using LLMs, implementing RAG architectures, and leveraging Agentic AI frameworks to automate data processing and reasoning workflows.

Responsibilities

• Develop and implement AI-powered solutions leveraging LLMs to process, analyze, and extract insights from structured and unstructured data.
• Design, develop, and optimize prompt engineering strategies to improve the accuracy, consistency, and reliability of LLM outputs.
• Build intelligent workflows using Agentic AI frameworks to automate data processing and reasoning tasks.
• Evaluate and experiment with different LLM models, embeddings, and retrieval techniques to determine optimal solutions for business use cases.
• Develop and maintain scalable AI-based data processing pipelines.
• Ensure data quality, performance, scalability, and reliability across AI-driven applications.
• Collaborate with cross-functional teams to integrate AI solutions into enterprise applications and business workflows.

Required Skills

• 7+ years of experience in Data Science, AI, or Machine Learning-related roles.
• Strong hands-on programming experience in Python for AI and data processing applications.
• Experience working with LLM APIs such as Azure OpenAI, Llama, or similar platforms.
• Practical expertise in Prompt Engineering, Prompt Tuning, and LLM output evaluation.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures.
• Experience with Vector Databases such as FAISS, Pinecone, or Azure AI Search.
• Knowledge of Agentic AI frameworks such as Semantic Kernel or similar orchestration frameworks.
• Experience with NLP techniques, data preprocessing, and handling large-scale datasets.
• Familiarity with REST APIs, data pipelines, and enterprise application integrations.
• Understanding of model evaluation, monitoring, optimization, and performance tuning techniques.
• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Experience with enterprise AI implementation projects.
• Exposure to AI orchestration and autonomous agent frameworks.
• Knowledge of cloud-based AI services and deployment models.
• Familiarity with modern MLOps and AI governance practices.
• Experience working in Agile delivery environments.

Note: Applicants should possess valid work authorization for Singapore or be eligible to work as per local employment regulations.