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.
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
Builds and deploys advanced ML models (time-series forecasting, NLP) for insurance claims processing, translating business needs into scalable production systems using Python, PyTorch/Keras, and cloud tools like BigQuery/GCP.
Build and deploy production-grade AI agents for financial-services customers, integrating Google’s GenAI stack with enterprise systems and driving ROI through bespoke agentic workflows.
Design enterprise AI solutions using generative agents, RAG, and ITSM/AIOps workflows to automate IT support, diagnostics, and operations with human-in-the-loop oversight.
At Google, we aim to foster Googley work environments that are collaborative, friendly and fun. The Facilities Management team brings our spaces to life as you oversee the daily operations of our offices. While roles…
Build and maintain data pipelines and reporting systems in Python, SQL, and BigQuery to support AI-driven healthcare insights at a leading European healthtech company.
Build and deploy full-stack AI applications for enterprise clients using Google's AI stack, including Gemini models, Vertex AI, and agentic systems, from frontend to production deployment.
Senior consultant designing AI-driven workplace workflows using Google Workspace, Gemini, and no-code tools, advising executives on agentic automation and change management.
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…
Lead AI data programs for Google’s ML Data org, coordinating cross-functional teams to secure high-quality data, enforce tamper-proof lineage, and mitigate safety risks for LLM launches like Gemini and Bard.
Build, deploy, and scale AI applications using GenAI, LLMs, RAG, and classic ML on Google Cloud and Azure, while automating data pipelines and model monitoring for enterprise clients.
Lead cross-functional ML efficiency programs at Google, translating technical metrics into business outcomes and driving strategic roadmaps for AI infrastructure.
Lead AI/ML strategy and teams at early-stage startups, defining product roadmaps and deploying generative AI systems using Python, PyTorch, and cloud MLOps stacks.
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
Lead cross-functional projects to improve data-center cooling and power systems, audit suppliers, and implement AI-driven quality fixes for Google’s AI infrastructure.
Design and deliver production-ready AI solutions for enterprises, including generative AI, RAG, and agentic workflows, while guiding clients from architecture to deployment.
Designs end-to-end AI/deep-learning architectures for geospatial platforms, customizing models like LLM/RAG and deploying on GPU/cloud infrastructure for defense, government, and commercial clients.
Secure AI systems by assessing LLM and generative AI security risks, implementing controls for training/inference pipelines, and hardening ML infrastructure against prompt injection, model poisoning, and data exfiltration.
Lead a team to design, build, and deploy AI-powered applications using LLMs, RAG, and vector databases, while mentoring engineers and enforcing engineering standards.
We couldn't check your fit for this role — add a CV to your profile to see it next time.