Model Algorithm Engineer

Job Responsibilities:

• Analyze the business scenario requirements of government and enterprise customers.
• Collaborate with Solution Manager to complete fine-tuning training of customer proprietary models.
• Perform application validation (POC) for solving customer problems.
• Assist with environment setup, business process code analysis and problem localization.
• Help customers with model and application performance tuning.
• Solve problems in AI-enabled business scenarios for government and enterprise customers with professional service capabilities and close the sales loop.
• K8S/Docker adaptation environment build and maintenance.

Job Requirements:

• Bachelor's degree or above in Computer Technology, Software Engineering, Electronics or other related majors.
• Master's degree from 985/211 institutions is preferred.
• 3+ years of project experience in big model or algorithm R&D and application, software development.
• Familiar with the basic principles of deep learning, skilled in the use of TensorFlow, PyTorch and other mainstream frameworks.
• Proficient in Python, familiar with data cleaning, labeling and pre-processing process.
• Master model compression, quantization, pruning and other techniques, understand distributed computing framework.
• Familiar with Kubernetes and Docker, understand the use and management of mainstream cloud computing platform.
• Excellent teamwork spirit, communication and logical expression ability.

The information provided will be treated in strict confidence and be used only for consideration of your application for relevant / similar posts within the Group/ Company.