Responsibilities Deploy machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx. Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments. Integrate AI features into existing products, enriching
Framework Ventures in Argentina seeks a skilled machine learning engineer to deploy models to edge devices and enhance existing products with AI features. Responsibilities include collaboration with researchers and integration of advanced AI technologies. Candidates should have a
About the role: You will own the inference backbone behind QVACs local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly