AI/ML Platform Engineer

The Machine Learning Platform Engineer will work closely with our AI and gaming technology teams to design, build, and scale a robust platform for machine learning model training and online inference services. This role involves developing ML Ops processes that integrate cutting-edge AI capabilities into our gaming products, improving automation, scalability, and reliability in our ML workflows. You will be part of an agile team that values innovation, code quality, and continuous learning.

Key responsibilities:

- Participate in the architecture design and software development of our AI platform.

- Implement and optimize ML Ops workflows to support production-grade AI services.

- Collaborate with cross-functional teams to deliver seamless ML solutions from data ingestion to deployment.

- Research and adopt new technologies that enhance platform performance and capabilities.

Job Requirements: 

- Bachelor’s degree or above in Computer Science, Engineering, or related field. 

- Hands-on experience with machine learning projects, covering data preprocessing, feature engineering, training, evaluation, and deployment. 

- Ability to write clean, efficient, and maintainable code. 

- Strong problem-solving skills and a proactive learning attitude. 

- Enthusiasm for exploring and adopting relevant new technologies. 

- Familiarity with backend fundamentals, including networking basics, databases, APIs, and common system components. 

- Experience with building or maintaining backend services, with exposure to debugging, performance optimization, or improving service reliability.