Advanced AI System Optimizer

22 hours ago


Islamabad, Islamabad, Pakistan beBee Careers Full time

AI Model Optimization Specialist

We are seeking an experienced AI model optimization specialist to join our team. As a key member of our AI research group, you will be responsible for driving innovation in model serving and inference architectures for advanced AI systems.

Your primary focus will be on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.

To succeed in this role, you will need to have deep expertise in designing and optimizing model serving pipelines and inference frameworks. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.

You will also be expected to adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities will include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments.

The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios.

Key Responsibilities:

  • Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage.

  • Build, run, and monitor controlled inference tests in both simulated and live production environments.

  • Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges.

  • Analyze computational efficiency and diagnose bottlenecks in the serving pipeline.

  • Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines.

Requirements:

  • A degree in Computer Science or related field.

  • Proven experience in large-scale model serving and inference optimization.

  • Deep understanding of modern model serving architectures and inference optimization techniques.

  • Strong expertise in one or more of the following: C/C++, Triton, ThunderKittens, or native CUDA.

  • Demonstrated ability to apply empirical research to overcome challenges in model serving.

About the Role:

This is an exciting opportunity to join a cutting-edge AI research team and contribute to the development of innovative model serving and inference architectures. If you have a strong background in AI research and a passion for solving complex problems, we encourage you to apply for this role.

What We Offer:

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. Our team is committed to fostering a collaborative and inclusive work environment, where everyone has the chance to thrive and make a meaningful contribution.

About Us:

We are a leading innovator in the field of artificial intelligence, dedicated to developing cutting-edge solutions that drive business value and improve people's lives. Our team is passionate about pushing the boundaries of what is possible with AI and making a lasting impact in the world.

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