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 LLM-based AI systems for an AI-driven recruitment service, including recommendation engines and generative AI pipelines.
Build and deploy AI models using Python, PyTorch/TensorFlow, and frameworks like LangChain and LlamaIndex; package models for production and collaborate on R&D.
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
Build and deploy ML models for anomaly detection, forecasting, and classification in aerospace systems using Python/MATLAB and PyTorch/Keras.
Energy Data Engineer builds ML models and digital twins to optimize building energy use, analyzing HVAC data and creating dashboards for efficiency improvements.
Builds digital twins and ML models to optimize energy use in buildings, analyzing HVAC data and deploying analytics dashboards.
Senior DevOps engineer maintaining high-traffic, microservices-based infrastructure using Kubernetes, Helm, Terraform, and CI/CD pipelines on AWS, with 24/7 on-call support and observability tooling.
Postdoctoral role researching machine learning, federated learning, and explainable AI for healthcare, energy, and smart infrastructure, deploying models on edge/cloud and publishing findings.
Senior Data Scientist building ML models to optimize flight operations, on-time performance, and maintenance costs using Python/R/SQL and TensorFlow/PyTorch.
Disclaimer: This posting is not an opportunity to work for Clean Foundation. Clean Foundation is supporting the hiring process for Green Jobs Internship Programs. The organization participating in Green Jobs Internship…
Build and deploy AI/ML systems for finance, using LLMs, prompt engineering, and neural networks with Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy large language models and deep-learning systems to power search, recommendations, and personalization for Instacart’s grocery marketplace.
Intern DevOps Engineer on the Data Science team maintaining and scaling ML infrastructure on GCP, using Docker, Kubernetes, and MLOps tools to serve 350B daily requests.
Build and ship ML systems that autonomously optimize retail-media ad spend for thousands of brands in real time using Python, GCP, and reinforcement learning.
Build and ship ML systems that autonomously set ad bids and allocate budgets for retail-media advertisers in real time, using Python, GCP, and emerging LLM-based reasoning layers.
Builds and deploys Python-based ML services and APIs for fintech, logistics, and healthcare clients using Django/Flask, TensorFlow, and DevOps/MLOps tooling.
Build and tune LLM-based AI agents and RAG systems for ERP automation and SaaS knowledge bases, using Python, PyTorch, LangChain, and cloud pipelines.
Build and maintain automated testing and CI/CD infrastructure for a complex AI/ML software stack, ensuring reliability and performance across simulators, emulators, and hardware.
Build and deploy ML models for credit risk scoring and fraud detection using Python, SQL, and gradient boosting; work with large credit-history datasets in production.
We couldn't check your fit for this role — add a CV to your profile to see it next time.