Senior AI Engineer

Tether Operations Limited; Dubai; On-site; AED 80,000 - 120,000; Full time

Job summary

A leading company in the digital finance sector is seeking a skilled AI Engineer to deploy machine learning models and integrate AI features into products. The ideal candidate will have strong programming skills and a degree in a related field, along with experience in AI R&D. Join us to innovate at the intersection of technology and human potential.

Qualifications

• Solid track record in AI R&D.
• Demonstrated ability to rapidly assimilate new technologies.

Responsibilities

• Deploy machine learning models to edge devices using frameworks.
• Collaborate with researchers to transition models from research to production.
• Integrate AI features into existing products.

Skills

Python

C

C++

Education

Degree in Computer Science

Degree in AI

Degree in Machine Learning

Tools

TensorFlow

PyTorch

JAX

CUDA toolkit

TVM

MLC

IREE

Job description

Innovate with Tether

Tether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that's just the beginning:

• Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
• Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
• Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
• Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Responsibilities:

• Work on deploying machine learning models to edge devices using frameworks such as TVM, MLC, and IREE (MLIR).
• Collaborate closely with researchers to assist in coding, training, and transitioning models from research to production environments.
• Integrate AI features into existing products, enriching them with the latest advancements in machine learning.

Job requirements:

• Excellent programming skills in Python, C, and C++.
• Experience with platforms such as TVM, MLC, and IREE (MLIR), which facilitate the deployment of models to specific GPU architectures.
• Experience in NLP, computer vision, TensorFlow, PyTorch, JAX, and CUDA toolkit.
• Demonstrated ability to rapidly assimilate new technologies and techniques.
• A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D.

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