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.
Drive technical go-to-market for JFrog’s AI and security products by creating architecture guides, threat models, and demos that win over ML engineers and CISOs.
Lead a team building large-scale AI recommendation systems for YouTube Ads, optimizing ad targeting and user models using ML infrastructure and generative AI tools.
Designs and evolves enterprise-scale data and AI platforms, including MLOps, semantic layers, and governed access APIs, to enable advanced analytics and intelligent systems across the organization.
Build and deploy ML models for Google Workspace, writing and reviewing code, debugging issues, and maintaining documentation.
Senior ML Engineer builds and maintains MLOps infrastructure to deploy AI/ML and generative AI systems into production, including APIs, vector databases, and RAG pipelines.
Lead a team building scalable data platforms and ML operations to power analytics and intelligent products, guiding architecture and best practices in a fast-moving environment.
Designs and implements security controls for AI systems, focusing on threats like prompt injection and adversarial attacks. Works with LLMs, model APIs, and cloud infrastructure to build resilient defenses.
Lead a data-science team to define Handelsbanken’s AI and analytics roadmap, build ML models with Python/SQL, and deploy them via MLOps while meeting banking regulations.
Design and build scalable AI platforms using cloud services, Kubernetes, and MLOps pipelines to automate AI/ML deployment and monitoring for enterprise clients.
Design autonomous network solutions for telecoms using AI frameworks (Vertex AI, LangGraph), APIs, and vector databases to optimize agentic systems and reduce inference costs.
Build and deploy optimization models for warehouse routing, transportation, inventory, and network planning using Operations Research and AI-native methods.
Build and deploy optimization models for supply-chain decisions like warehouse routing, shipping costs, and inventory placement using LP/MIP, heuristics, and AI-native workflows.
Design AI-powered voice and chat flows for JPMorgan Chase’s internal help line, updating an IVR system with LLMs while ensuring accessibility and user-centered design.
Build and maintain the infrastructure that trains, deploys, and serves AI models at scale, using Python, PyTorch/JAX, and LLM serving stacks like vLLM.
Lead the design and deployment of AI-driven ML models for vehicle valuation and pricing in the automotive sector, overseeing the full production lifecycle.
Build Google’s next-gen on-device AI framework (LiteRT) to deploy ML models efficiently across Android, Chrome, iOS, and embedded systems with GPU/NPU acceleration.
Location: Remote / EU Stage: Early-stage startup Product: Robotics automation About the role We are looking for a Project Manager to co-build a startup focused on developing cutting-edge automation solutions driven by…
We are building a new Systems-Level Integration (SLI) team focused on Smart high-performance Inertial Sensors and Systems. As a Machine Learning Engineer in our expanding Riyadh office, you will pioneer the use of Deep…
Build AI-driven security tools using LLMs and autonomous agents for malware analysis, threat hunting, and incident response at Google Threat Intelligence.
Build, deploy, and maintain ML models for a banking client using Python, TensorFlow/PyTorch, and cloud tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.