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, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
Build and deploy generative AI models (LLMs, diffusion, transformers) and agentic AI systems using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Build and deploy applied AI systems that power claims processing, underwriting, customer service, and fraud detection for a large insurer.
On-site engineer deploying and optimizing AI systems for regulated clients using Kubernetes, Docker, and AI-driven automation tools like vibe coding and agent swarms.
Build and refine NLP/LLM-powered conversational AI models for a customer-service platform, focusing on production-grade RAG systems like Lyro that handle real user interactions at scale.
Practice Manager – Cloud, DevOps & AI Practice Company: Teceze Ltd Position: Practice Manager – Digital Engineering & AI Innovation Practice Area: Cloud & DevOps, AI & Intelligent Automation,…
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
Build and deploy AI-powered tools and products for a fintech platform, using LLMs, RAG, and agentic workflows to automate workflows and enhance customer experiences.
Build and deploy AI models (LLMs, agentic AI) using Azure to extract insights from insurance data, collaborating with engineering teams to create data products that power smarter business decisions.
Build and deploy production-grade deep learning models using PyTorch and LLMs to solve Extreme Multilabel Classification problems for retail analytics.
Senior Data Engineer builds and scales web-scale data pipelines for AI research, focusing on crawling, normalization, and metadata governance to power sovereign AI models like Ilmu.
Our AI Platform & Edge team sits at the heart of how SumUp is scaling intelligent, merchant-facing experiences across millions of interactions. We build and operate the AI systems — from LLM-powered assistants to…
Build and deploy AI-powered prototypes and production systems using LLMs, computer vision, and graph-based AI, optimizing models with PyTorch and Nvidia tools.
Build and test software for AI-driven preventive healthcare apps, collaborating with engineers on Python/Java/JavaScript projects and cloud tools.
Senior ML Engineer builds and operates cloud-native ML systems for multimodal healthcare data, including clinical document analysis, medical text processing, and conversational AI agents using GCP tools.
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
Build and scale AI/ML models for an HR-tech SaaS platform, focusing on automation, NLP, and generative AI to improve HR workflows and user experience.
We couldn't check your fit for this role — add a CV to your profile to see it next time.