Experience building and shipping production AI/ML systems.
Strong Python programming skills with solid
software engineering fundamentals (testing, CI/CD, clean architecture, version control).
Deep expertise in Computer Vision, including object detection, classification, tracking, and model optimization using frameworks such as PyTorch or TensorFlow.
Experience designing and operating end-to-end ML pipelines covering data, training, evaluation, deployment, and monitoring.
Experience deploying AI models to resource-constrained environments such as mobile, edge devices, WebGL, or on-device inference.
Hands-on experience with Large Language Models (LLMs), conversational AI, prompt engineering, safety guardrails, and chatbot frameworks.
Experience building AI agent workflows, AI coding assistants, and modern AI engineering tools (e.g., MCP, RAG, agent frameworks, context engineering).
Strong understanding of generative AI workflows for image generation and content creation.
Ability to read academic research and translate it into practical production solutions.
A hybrid working model with 2 days working from home every week.
A range of well-being events and policies to support employees physically, mentally, and emotionally.
Various training packages, including internal training, training sponsorship, and e-learning platforms (iLearn, Udemy, O'Reilly,...).
Opportunities to collaborate and train with Gameloft worldwide experts and develop yourself.
An attractive monthly salary alongside Tet and other performance bonuses.
Minimum 12 days of paid annual leave, plus 5 days of paid sick leave, Christmas leave, Birthday leave, CSR leave,...
100% coverage of mandatory insurance plus private healthcare insurance.
A monthly allowance to support lunch meals and working-from-home electricity and Internet bills.
Relocation supprt for international candidates joining from overseas.