Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Developing and deploying scalable machine learning models for production environments with an accent on large-scale data processing and real-time application performance. Focus on building robust AI solutions that serve millions of end users while ensuring model fairness, security, and efficiency.

Location: Chengdu (Onsite)

Company

A global leader in gaming hardware and software, dedicated to revolutionizing the gaming experience through innovative technology.

What you will do

• Collaborate with stakeholders to define business problems solvable through AI and machine learning.
• Collect, preprocess, and analyze large-scale datasets to extract actionable insights.
• Develop, train, and optimize machine learning models using Python/R and frameworks like TensorFlow or PyTorch.
• Integrate models into production systems to support millions of end users.
• Implement monitoring mechanisms to track model performance and ensure system scalability.
• Address ethical considerations, including bias, fairness, and data privacy.

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in Python or R and experience with TensorFlow or PyTorch.
• Strong understanding of statistical analysis and data mining techniques.
• Proven experience in developing and deploying machine learning models to production environments.
• Familiarity with software development practices and version control systems.
• Excellent problem-solving skills and ability to work in cross-functional teams.

Nice to have

• Experience with deep learning architectures and algorithms.
• Knowledge of big data tools and cloud-based machine learning services.
• Track record of publications or contributions to the machine learning community.

Culture & Benefits

• Opportunity to work on a global mission to revolutionize gaming.
• Exposure to a diverse, international team spanning 5 continents.
• Accelerated professional and personal growth within a gamer-centric environment.