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.
Builds and deploys AI/ML prototypes on a cloud platform, supports enterprise customers through technical onboarding, and feeds insights into product development.
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.
Senior Sales Engineer at Nebius designs and validates scalable AI inference architectures for enterprise customers, bridging technical feasibility with commercial growth in a global AI cloud platform.
Build and maintain the reliability, observability, and performance of Nebius’s AI inference platform, ensuring seamless operation under extreme load while optimizing GPU workloads and Kubernetes clusters.
Designs and advises on cloud infrastructure and MLOps solutions for AI/ML teams, leveraging GPU cloud platforms and modern frameworks to optimize training and inference workloads.
Own the product direction for Soperator, Nebius's Slurm-on-Kubernetes control plane for GPU clusters, shaping how ML engineers run and scale distributed AI workloads using cloud infrastructure and orchestration tools.
Early-career ML Solutions Architect builds and tests LLM-based applications, benchmarks models, and optimizes inference on a serverless AI platform, learning scalable AI deployment with mentorship from senior architects.
Principal ML Solutions Architect designs and optimizes serverless LLM inference and fine-tuning workflows for enterprise customers, using frameworks like vLLM and TensorRT-LLM on Nebius's AI cloud platform.
Designs and implements AI/ML cloud integrations with strategic partners, enabling joint customers to deploy GPU-accelerated solutions efficiently using modern frameworks and cloud infrastructure.
Designs and implements cloud infrastructure and MLOps solutions for AI teams, advising on GPU orchestration, Kubernetes, and IaC tools like Terraform.
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
The Principal Solutions Architect will lead technical presales and solution design for strategic customers in Japan, focusing on large-scale AI/ML infrastructure and GPU-accelerated cloud workloads. The role involves acting as a trusted advisor to executive stakeholders and collaborating with internal product and engineering teams to drive adoption of the Nebius AI cloud platform.
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…
Build scalable data pipelines and ML models for the financial sector (banking, insurance, pensions) using Python, Azure, and Databricks.
Make a difference in the financial life of millions of people: At Erste Digital you are co-creating the digital future, in which better financial health is possible. #believeinyourself We are part of Erste Group – the…
Get to know our Team: GrabFin is an aggregate of FinTech businesses spread across 6 countries in South East Asia, in the Payments, Lending and Insurance domains. We station our engineering teams in Bangalore,…
We couldn't check your fit for this role — add a CV to your profile to see it next time.