Description

Key Skills: Machine Learning, Model Optimization, GPU Programming, Inference Systems, Performance Optimization, Deep Learning, Python, TensorFlow, PyTorch, Scalability

Good to Have Skills: Experience with large-scale inference infrastructure, model architecture design, cost-efficient AI solutions, real-world production environment optimization, research and engineering integration, high-performance computing systems.

Roles & Responsibilities:

• Optimize the performance of advanced machine learning systems used in real-world production environments.
• Work at the intersection of research and engineering to transform cutting-edge models into fast and reliable solutions.
• Directly impact model scalability, user experience, and the efficiency of AI-powered products through performance optimization.
• Dive deep into performance optimization covering model architecture, GPU execution, and large-scale inference infrastructure.
• Collaborate with talented research, infrastructure, and product teams to push the boundaries of AI systems capabilities.
• Build high-performance machine learning systems from the ground up to solve complex technical challenges

Key Skills

Education

Any Graduate