Digital Transformation Specialist

2 days ago

Rawalpindi Cantonment, Pakistan beBeeArtificial Full time $180,000 - $200,000
Job Overview

We are driving the evolution of digital finance by pioneering innovative solutions that empower businesses to seamlessly integrate reserve-backed tokens across blockchains.

Our cutting-edge technology focuses on transparency, trust, and efficiency, shaping a global financial revolution.

About Our Product Suite

Tether Finance features the world's most trusted stablecoin, relied upon by hundreds of millions worldwide.

Our digital asset tokenization services harness the power of blockchain technology, enabling businesses to thrive.

About Our Energy Solutions

Tether Power drives sustainable growth with energy solutions optimizing excess power for Bitcoin mining using eco-friendly practices in state-of-the-art facilities.

About Our AI and P2P Technology

Tether Data fuels breakthroughs in AI and peer-to-peer technology, reducing infrastructure costs and enhancing global communications.

Our flagship app redefines secure and private data sharing.

About Our Digital Learning Platform

Tether Education democratizes access to top-tier digital learning, empowering individuals to thrive in the digital economy.

About Our Future Vision

Tether Evolution pushes the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful ways.

Why Work With Us?

We're a global talent powerhouse working remotely from every corner of the world.

If you're passionate about making a mark in fintech, this is your opportunity to collaborate with some of the brightest minds.

We've grown fast, stayed lean, and secured our place as a leader in the industry.

About the Role

We're looking for an experienced AI Model Engineer with deep expertise in kernel development, model optimization, fine-tuning, and GPU acceleration.

This role requires hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging.

  • Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.
  • Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.
  • Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).
  • Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.
  • Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.
  • Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.
  • Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).
  • Integrate and validate quantization workflows for training and inference.
  • Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).
  • Conduct GPU testing across desktop and mobile devices.
  • Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.
  • Deliver production-grade, efficient language model deployment for mobile and edge use cases.
  • Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.

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