Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and deploy enterprise AI applications end-to-end using Google’s Gemini Enterprise stack, including conversational agents, RAG pipelines, and agentic systems, while working embedded with clients.
At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating…
Skyflow secures the flow of data across datastores, models, and agents. Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI deployment, and unlock full value…
Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In…
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations…
Build and scale the ML platform and MLOps pipelines (CI/CD, monitoring) on AWS to deploy robust models for an on-demand pay fintech company.
Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the…
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML…
At Papaya, we believe in the power of play. We are one of the world's fastest-growing mobile game companies, providing entertainment for millions of users across multiple apps. We are building the most exciting…
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Who We Are ¿Listo para inscribirse? Antes de hacerlo, asegúrese de leer todos los detalles pertenecientes a este trabajo en la descripción a continuación. NEVERHACK es un grupo francés especializado en ciberseguridad…
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Engineer SME based in the United States. The AI/ML Engineer SME will serve as a…
Our Company At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity. Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the…
About McDonalds: One of the worlds largest employers with locations in more than 100 countries, McDonalds Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and…
The Senior ML Solutions Architect will help customers design and implement optimized LLM inference and fine-tuning workflows using the Nebius Token Factory platform. This role involves architecting scalable AI applications, providing technical expertise in RAG and prompt engineering, and collaborating with internal engineering teams to improve the platform.
Senior ML Solutions Architect designs and optimizes serverless LLM inference and fine-tuning workflows for customers using Nebius Token Factory, focusing on production deployment and scalability.
Nebius is seeking a Senior Sales Engineer to act as a technical partner for customers using their AI inference platform. The role involves leading technical discovery, validating PoC architectures, and ensuring that customer AI workloads are scalable and economically viable on their GPU-backed infrastructure.
We couldn't check your fit for this role — add a CV to your profile to see it next time.