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 deploy ML models to personalize recommendations and connections across Bumble’s dating and social platforms using PyTorch/TensorFlow and modern AI techniques.
Lead the architecture and hands-on development of a next-gen agentic AI platform for banking workflows, integrating LLMs and multi-agent systems to automate processes and boost productivity.
Build and deploy AI models to accelerate drug discovery by analyzing scientific data and optimizing ML-driven experiments for researchers.
Lead end-to-end development of optimization models for warehouse routing, transportation, and inventory using LP/MIP/CP to improve supply chain efficiency.
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.
Build and refine an AI-powered proactive assistant that handles multi-step workflows, tool interactions, and real-world tasks with high reliability and minimal user prompting.
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
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.
Build AI-driven security tools using LLMs and autonomous agents for malware analysis, threat hunting, and incident response at Google Threat Intelligence.
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Senior Data Scientist at Walmart Canada builds ML models and analyzes customer behavior to improve retail operations and decision-making using Python, SQL, and generative AI.
Build and deploy AI-powered solutions using Python, LLMs, and cloud tools like GCP; develop RAG, agentic workflows, and prompt-based applications under senior guidance.
Build and deploy LLM-powered AI solutions, including RAG pipelines and NLP applications, using Python, LangChain, and cloud platforms like Azure/AWS/GCP.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Build and maintain AI-driven trading models and data pipelines for a quantitative hedge fund, translating research into production systems.
Build and ship an AI-powered food agent that plans meals, sets nutrition goals, and places orders using LLMs, retrieval, and agentic workflows in production.
Lead the design, development, and deployment of ML models to automate healthcare operations, ensuring measurable impact on workflow efficiency and patient care.
Build and deploy AI/ML models to modernize British Army training, integrating them into secure systems and automating workflows with Python, ML frameworks, and MLOps tooling.
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