The role involves building robust, scalable data pipelines to support machine learning and AI model training within a global gaming distribution context
Job Summary
The role involves building robust, scalable data pipelines to support machine learning and AI model training within a global gaming distribution context.
Candidates will design and develop AI models and APIs that integrate seamlessly into both application software and embedded hardware systems.
The position requires reviewing team code and driving continuous improvement of AI models through algorithm refinement and DevOps/MLOps best practices.
Matching Summary
The role involves building robust, scalable data pipelines to support machine learning and AI model training within a global gaming distribution context.
Skills & Requirements
Must-have
Python Java C++ programming skills
GPU-accelerated computing CUDA TensorRT
Machine learning model deployment experience
Transformer-based models and LLMs
REST APIs and Git version control
Nice-to-have
Game industry domain knowledge
Prompt engineering expertise
Embedded systems integration experience
Cross-platform application development
Passion for AI experimentation
Key Requirements
Degree in Information Technology or Computer Science
Minimum 2 years of relevant experience
Hands-on experience deploying machine learning in real-world applications