Data Scientist

Elliott Moss Consulting Pte Ltd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Elliott Moss Consulting Pte Ltd is seeking a Data & AI Scientist to design and develop innovative cloud-native AI solutions. This role involves collaboration with Product Owners and Engineering teams to implement AI-driven applications, leveraging technologies such as Generative AI and Large Language Models.

The ideal candidate should hold a relevant degree and possess strong programming skills in Python, along with experience in the AI software development lifecycle.

Qualifications

• Bachelor's or Master's Degree in a relevant field is required.
• Hands-on experience with AI solutions and cloud environments is preferred.
• Strong programming skills in Python are mandatory.

Responsibilities

• Collaborate with teams throughout the product lifecycle.
• Design and develop cloud-native AI applications using Microservices Architecture.
• Implement and validate AI algorithms ensuring operational efficiency.

Skills

Machine Learning (ML)

Deep Learning

Generative AI

Large Language Models (LLMs)

AI Agents

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Python

C++

Education

Bachelor's or Master's Degree in Computer Science, Computer Engineering, Engineering, Mathematics, Statistics, AI, Data Science, or a related discipline

Tools

TensorFlow

PyTorch

Cloud Technologies

Vector & Graph Databases

Job description

About the Role::

We are looking for a Data & AI Scientist to design, develop, and deploy cloud-native AI and data solutions that are scalable, reusable, and production-ready.

You will work with Product Owners, Engineering teams, and industry partners to build innovative AI-driven applications using the latest technologies, including Generative AI, Large Language Models (LLMs), AI Agents, and Machine Learning, helping to solve real-world industry challenges.

Key Responsibilities::

Collaborate with Product Owners, Engineering teams, and stakeholders throughout the product lifecycle—from concept, design, prototyping, testing, deployment, and operationalization.

Research, evaluate, and recommend emerging AI technologies and industry trends for production use.

Design and develop cloud-native AI applications using Microservices Architecture.

Build, deploy, and optimize Machine Learning, Deep Learning, and Generative AI solutions.

Develop AI-powered applications using LLMs, AI Agents, Retrieval-Augmented Generation (RAG), Prompt Engineering, and Vector Databases.

Implement and validate AI algorithms while ensuring scalability, security, fairness, transparency, and operational efficiency.

Participate in Agile software development, code reviews, documentation, and best practices.

Qualifications::

Bachelor's or Master's Degree in Computer Science, Computer Engineering, Engineering, Mathematics, Statistics, AI, Data Science, or a related discipline.

Required Technical Skills::

Artificial Intelligence & Machine Learning

• Machine Learning (ML)
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• AI Agents
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering

AI Frameworks & Programming

• OpenAI & Claude
• TensorFlow / PyTorch (Torch)
• Python (Mandatory)
• C++ (Preferred)

Data & Cloud Technologies

• Cloud-native AI Applications
• Microservices Architecture
• Data Manipulation & Visualization
• Machine Learning Libraries
• Vector & Graph Databases

3D & Computational Geometry

• 3D Geometry
• Vector Mathematics
• Coordinate Systems
• Mesh Manipulation & Boolean Operations
• Geometric Transformations
• Experience with Blender, Revit, OpenGL, CGAL, or Three.js

Preferred Experience::

Developing and deploying AI solutions in production environments

Hands-on experience with OpenAI, Claude, AI Agents, RAG, and Prompt Engineering

Experience building scalable AI applications using cloud technologies

Knowledge of AI software development lifecycle and Agile methodologies