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 maintain scalable MLOps infrastructure for AI/ML services, including Kubernetes clusters, GPU optimization, and LLM inference platforms to support Money Forward’s fintech products.
Demand generation specialist at a Series A AI-infra startup; designs and runs multi-channel campaigns to create qualified leads for AI Gateway and AI Deploy, then hands them to sales.
Designs and deploys secure, scalable agentic AI systems (multi-agent architectures, RAG, tool orchestration) for enterprise clients, ensuring reliability, observability, and compliance with safety policies while driving measurable business impact.
Build AI-powered music tools for guitarists: train models to generate and recognize guitar parts, then test them by playing live to ensure they sound like a real band.
📌 About the Role Jus Mundi is looking for a full-time Senior Platform & Cloud Engineer to join the team. We want you to be part of a team of passionate people who are always ready to help each other. This position…
Senior role leading enterprise AI strategy and solution architecture, designing generative AI systems (LLM orchestration, RAG, vector DBs) and advising C-level clients on secure, scalable AI adoption.
Czym będziesz się zajmować? Project scope: Write production-ready code and use GPU or CPU resources according to ML workload capacity needs. Architect, automate and orchestrate cloud DevOps and MLOps pipelines. Create…
Builds and maintains AI-powered healthcare platforms using Python, Next.js, and Azure, focusing on document processing and clinical review workflows.
Build and maintain MLOps and DevOps platforms for AI/ML systems on AWS, including Kubernetes, CI/CD, and SageMaker pipelines, while ensuring security and reliability for fintech applications.
Designs and governs enterprise AI systems, including LLMs and MLOps, ensuring scalable, secure, and compliant solutions aligned with business goals.
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Lead a team to build and deploy AI/ML solutions for predictive maintenance, quality control, and process optimization across multiple manufacturing plants using Azure AI, Databricks, and IIoT data.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
Designs and builds AI/ML-powered cloud-native applications on Microsoft Azure, focusing on retrieval-augmented generation and LLM integration to solve internal business problems while establishing reusable AI/MLOps patterns and security guardrails for cross-functional teams.
Designs and builds scalable machine-learning systems on Google Cloud, collaborating with data scientists and engineers to deploy AI solutions and MLOps platforms for enterprise clients.
Build and deploy ML models that power travel-management features, collaborating with data analysts and engineers to turn business KPIs into production-ready AI systems.
Lead the architecture of Honeywell’s enterprise AI platform across cloud, edge, and hybrid environments, defining standards for lakehouse, streaming, vector databases, and MLOps to scale real-time inference and agentic systems.
Principal engineer building and scaling AI infrastructure (compute, storage, networking) for Mastercard’s AI Center of Excellence, enabling large-scale ML and generative AI workloads.
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them to cloud, and maintains MLOps workflows using Spark, TensorFlow, and Airflow.
Lead a cloud-based data platform using AWS, Python and SQL to build scalable pipelines, data lakes and AI systems that deliver enterprise insights.
We couldn't check your fit for this role — add a CV to your profile to see it next time.