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.
Lead the design and deployment of production-grade AI agents that take real-world action, focusing on retrieval engineering, tooling, and guardrails for a mobility-focused venture studio.
Designs, deploys, and maintains AI/ML models and MLOps pipelines for federal agencies, using Python, TensorFlow/PyTorch, and cloud platforms like AWS/Azure/GCP.
A hands-on AI engineer embeds with clients to rebuild core business processes using GenAI and AWS, starting by doing the operator’s job before automating it.
Artificial intelligence is rewriting every industry it touches — but construction, the second largest sector in the global economy, has barely felt it yet. That's not a problem. That's an opening. ZeroRFI is…
Senior Software Engineer builds and maintains Attentive’s ML/AI platform, enabling scalable model training, serving, and deployment for personalized marketing using Spark, Ray, Kubernetes, and AWS.
Build and maintain a cloud-native MLOps platform for healthcare using Kubeflow, LLMs, and GPU-accelerated ML pipelines in a secure Kubernetes environment.
Build and deploy cutting-edge ML models for NLP, computer vision, recommendations, and ranking, then ship them to production using modern MLOps tooling.
Build and deploy AI-driven pipelines for legal and regulatory compliance using LLMs, RAG, and vector databases in AWS, focusing on document understanding and obligation extraction.
Senior AI Engineer designs and deploys production-grade AI solutions using Microsoft Copilot, Power Platform, and agentic workflows, focusing on scalable, enterprise-ready automation and observability.
ML System Design & Deployment Build and deploy end-to-end ML pipelines (training → validation → deployment → monitoring) Convert notebooks and prototypes into production-grade services Design batch and real-time…
MLOps engineer maintains and monitors ML models and risk systems, deploys models, and manages data pipelines using Python, Airflow, Spark, and SQL in a hybrid office setting.
An embedded AI engineer builds and deploys generative AI systems on AWS for financial services and healthcare clients, starting by performing the operator’s job before automating it.
Builds and deploys AI agents for a global healthcare client, integrating LLMs, RAG, tool calling, and orchestration frameworks using Python and cloud AI services.
Designs and builds AI-embedded data pipelines in Snowflake and Databricks for a global healthcare company, focusing on agentic AI, semantic layers, and governed analytics.
Senior AI Engineer designs, trains, and deploys AI models (ML, LLMs, computer vision) and builds end-to-end pipelines for production-ready AI solutions.
Leads the architecture and development of AI-driven healthcare recommendation systems and platform infrastructure to personalize treatment and provider decision support at scale.
Job Title: Senior Data Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local Anticipated…
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team…
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence InfoSec seeking a Security Architect with deep expertise in Artificial Intelligence (AI) and Machine…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
