Senior AI Inference Engineer (100 Remote - Argentina)

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Tether Operations Limited

Tether Operations Limited

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Posted on: 15 July, 2025

Senior AI Inference Engineer (100 Remote - Argentina)

Shape the Future of Digital Finance with Tether

At Tether, we’re pioneering a global financial revolution with innovative solutions that enable seamless integration of reserve-backed tokens across blockchains.

Our technologies allow businesses to store, send, and receive digital tokens securely and instantly, fostering transparency and trust in every transaction.

Tether’s Innovations:

  • Tether Finance: Features the trusted stablecoin USDT and digital asset tokenization services.
  • Tether Power: Focuses on sustainable energy solutions for Bitcoin mining using eco-friendly practices.
  • Tether Data: Develops AI and P2P communication solutions like KEET for secure data sharing.
  • Tether Education: Provides accessible digital learning to empower individuals globally.
  • Tether Evolution: Merges technology with human potential for unprecedented innovation.

Why Work with Us?

Our global, remote team is passionate about fintech innovation. We value excellent English communication skills and a drive to contribute to cutting-edge platforms.

About the Role:

We are committed to making advanced AI technologies accessible, building next-generation AI models that are transparent, privacy-preserving, and highly innovative.

Responsibilities:

  • Deploy machine learning models to edge devices using frameworks such as Llama.cpp, ONNX, TVM, MLC LLM, and IREE (MLIR).
  • Collaborate with researchers to code, train, and transition models from research to production.
  • Integrate AI features into existing products, leveraging the latest in machine learning.

Requirements:

  • Excellent programming skills in Python, with solid C/C++ knowledge.
  • Experience with deployment platforms like Llama.cpp, ONNX, TVM, MLC LLM, and IREE (MLIR).
  • Knowledge of NLP, transformers, fine-tuning, computer vision, TensorFlow, PyTorch, JAX, and CUDA.
  • Ability to quickly learn new technologies.
  • A degree in Computer Science, AI, or related fields, with a strong record in AI R&D.

Tags:
ai
ml
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