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 enterprise-grade GenAI and ML systems, including agentic workflows and RAG pipelines, while implementing governance, monitoring, and cost controls across cloud platforms like GCP and AWS.
Build and train ML models for detecting print defects and objects in scanned documents, then ship a prototype dashboard for image upload and analysis.
Build ML/AI models to detect objects and print defects in scanned documents, then prototype a web dashboard for uploading images and visualizing results.
Lead the migration of ML models and agentic solutions to production on GCP and related platforms, ensuring scalability, reliability, and cost efficiency while managing stakeholders and automating monitoring and pipelines.
Build and own production ML systems for identity resolution, audience intelligence, and personalization using Databricks, Snowflake, and AWS to power WBD’s streaming and ad-tech platforms.
Build and deploy ML systems for identity resolution, audience modeling, and personalization on AWS/Databricks, turning first-party data into scalable ML capabilities for media and advertising.
Turn decades of data into intelligence that helps feed the world. VAS is the Operating System of the modern dairy with decades of longitudinal data for the most productive cows in the world. We hold a dominant US…
MANTECH seeks a motivated, career and customer-oriented Senior AI ML Engineer . This is currently a hybrid position with two to three days onsite in Ashburn, VA . In this role, you will collaborate within a…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Design, build, and deploy ML models and AI systems for a talent marketplace, covering the full lifecycle from data prep to production monitoring.
Senior ML Ops Engineer builds and scales production systems for AI-powered grocery recommendations and box personalization using Python, FastAPI, Spark on Databricks, and MLflow on AWS.
Builds and deploys LLM-powered agents/pipelines for field technicians, collaborating with platform architects to enhance multi-agent orchestration in production environments using Python, LangChain, and related tools.
Develop physics-driven deep learning models in PyTorch for transient electromagnetic data to improve subsurface imaging, combining electromagnetic physics with supervised and self-supervised learning.
Design and deploy deep-learning perception models for ADAS in commercial EVs, optimizing neural networks for embedded automotive hardware.
Build and lead GenAI-powered recommendation systems that personalize Reddit’s feed for millions of users, shaping core ranking architectures and mentoring senior engineers.
Build and ship production-grade AI systems—LLMs, agents, retrieval, and evals—from prototype to scalable deployment for high-stakes decision-making.
Build and optimize ML models to improve ad-tech relevance algorithms and product KPIs, partnering with cross-functional teams using Python, SQL, and statistical analysis.
Build and scale the ML platform powering PubMatic’s adtech stack, designing pipelines for petabyte-scale data, GPU-accelerated training/inference, and RAG systems to troubleshoot bid streams and deliver AI-driven insights.
Build and improve ML models for ad-campaign optimization, ranking, bidding, and forecasting to maximize performance metrics like CTR, ROAS, and CPA at scale.
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