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AI Inference Engineer (Edge) (100% Remote - Uruguay)

Remote:

Full Remote

Work from:

Italy, Uruguay

Offer summary

Qualifications:

Experience with machine learning frameworks, Strong coding skills in ML environments, Familiarity with edge device requirements, Experience in model deployment.

Key responsabilities:

Deploy machine learning models to edge devices
Collaborate with researchers on model production

Tether.to Financial Services Startup https://tether.to/

11 - 50 Employees

See more Tether.to offers

Job description

At Tether, we're committed to making advanced AI technologies more accessible. Thanks to its investment in AI infrastructure, starting from Northern Data, Tether is now in a prime position to tackle ambitious AI projects. Our goal is to build the next generation of AI models, leading innovation in AI, through an accessible, transparent and privacy preserving approach.

The role involves building AI solutions across the spectrum from large-scale models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices such as mobile phones and laptops.

Our dynamic team operates entirely remotely, uniting talent from every corner of the globe. Our journey has been marked by rapid growth and efficient operations, firmly establishing us as pioneers within the industry. Join us in building AI models and solutions that not only compete with but exceed the capabilities of current leaders, driving both technological advancement and broad accessibility.

What You'll Do:

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.