AI Data Scientist for Scalable Cloud AI

Activate Interactive Pte Ltd; Singapore; On-site; SGD 80,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Medical coverage

Flexi benefits

Wellness programs

Learning & development

Career progression

Flexible work arrangement

Job summary

Activate Interactive Pte Ltd, a technology consultancy in Singapore, seeks a Data Scientist to design and develop cloud-native data and AI products. You will join an AI development team, collaborating with industry partners to build scalable solutions with state-of-the-art AI tech.

The role involves working across projects, contributing to research and practical deployments, and engaging in cross-functional teams to deliver impactful data-driven outcomes.

Qualifications

• Background in engineering, computer science, mathematics, statistics or equivalent.
• Strong technical knowledge in AI and its production deployment.

Responsibilities

• Design and develop reusable, scalable cloud-native data and AI products.
• Work with cross-functional teams on data-driven and AI-driven solutions.
• Participate in agile secure software development processes and best practices.
• Propose, implement, and validate algorithms ensuring scalability, transparency and cost efficiency.
• Develop and deploy software components based on microservices architecture.

Skills

AI knowledge

AI research

Python/C++

Data libraries

DL frameworks

Prompt engineering

AI Agents / RAG

3D geometry

Geometry algorithms

3D tools

Cross-functional teamwork

Communication skills

Tools

TensorFlow

PyTorch

OpenAI

Claude

Blender

Rivet

OpenGL

CGAL

Three.js

Job description

Activate Interactive Pte Ltd, a technology consultancy in Singapore, seeks a Data Scientist to design and develop cloud-native data and AI products. You will join an AI development team, collaborating with industry partners to build scalable solutions with state-of-the-art AI tech.

The role involves working across projects, contributing to research and practical deployments, and engaging in cross-functional teams to deliver impactful data-driven outcomes.