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 AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Build and maintain scalable software while integrating AI/ML features using Python, Java, or JavaScript and cloud platforms like AWS/Azure.
Builds and maintains software for Lyft’s autonomous vehicles, focusing on perception, localization, and decision-making algorithms in C++/Python.
Build and deploy full-stack apps with React, Node.js, and TypeScript, integrating AI models and DevOps pipelines using AWS, Terraform, and GitHub Actions.
Builds AI-powered web apps for English learning using PHP/JavaScript, AI/ML frameworks, and cloud databases.
Senior AI scientist building and deploying ML models for public-health and forensic research, mentoring teams, and publishing findings to drive national impact.
Senior AI scientist building public-health and forensic data-science solutions using ML/AI, publishing research, and mentoring teams in Python/R and cloud platforms.
Build and deploy ML models that turn multi-modal retail data into security insights using PyTorch, scikit-learn, and Kubernetes on a cloud-native platform.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and deploy ML models to detect retail crime patterns, match suspects, and analyze video evidence for global retail clients using Python, computer vision, and cloud pipelines.
Build and maintain platform systems that run ML-powered health insights and sync massive user data between mobile and cloud for Oura’s wearable ring and app.
Build and deploy ML models using TensorFlow or PyTorch to create data-driven solutions in collaboration with data scientists and engineers.
Lead AI and data-science engagements for retail clients, translating business needs into AI solutions and deploying models using modern frameworks and cloud platforms.
Build and deploy AI models in Python using TensorFlow/PyTorch, then productionize them with MLOps on Azure and Docker; translate insights into business decisions.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Build and deploy scalable AI/ML models and LLM-based systems on Hilti’s AI platform, using Python, Azure, and MLOps/LLMOps practices to power global construction workflows.
Build and validate AI/ML models (LLMs, NLP, CV) for banking use cases, rapidly prototype solutions, and mentor junior team members in a collaborative, onsite environment.
Design and implement AI-driven solutions on SAP Business Technology Platform, integrating generative AI, machine learning, and SAP services to optimize business processes and decision-making.
We couldn't check your fit for this role — add a CV to your profile to see it next time.