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 scalable AI/LLM solutions for Johnson Controls, focusing on generative AI, retrieval-augmented generation, and cloud-based ML pipelines to drive digital transformation.
Leads a tiger team to modernize AI/ML platforms, integrating LLMs (RAG, embeddings) and automating data pipelines for customer identity resolution, while mentoring teams on next-gen AI development and .NET/React-based infrastructure.
Manage and deliver automation solutions for PwC’s Managed Services, leading teams to optimize DevOps, cloud infrastructure, and AI/MLOps for enterprise clients.
Build and maintain full-stack enterprise applications using Java/Spring Boot, React/Angular, and cloud-native tools on GCP, while collaborating with cross-functional teams to modernize systems.
Build and deploy AI-powered web apps and analytics dashboards using Python, Streamlit/React, FastAPI, and Docker for a defense-focused government contractor.
Build and maintain AI-powered web apps and analytics dashboards using Python, Streamlit/React, FastAPI, and Docker for a government-focused AI team in Arlington, VA.
Lead pre-sales AI solution architecture for enterprise customers, designing AI-ready storage and data pipelines using NetApp platforms, NVIDIA GPUs, and cloud services to accelerate AI transformation.
Lead presales architecture role designing Elastic Stack solutions for enterprise search, observability, and security, including AI-powered search and RAG pipelines.
Builds and deploys ML models and LLMs to analyze banking data, detect fraud, segment customers, and support risk decisions using Python, SQL, and cloud platforms.
Designs and builds AI/ML models and data pipelines to improve infrastructure reliability, capacity forecasting, and operational automation for a large bank’s hybrid cloud and on-premises environments.
Principal Data & AI Architect designs and advises on large-scale data platforms, AI/ML systems, and cloud migrations, bridging technical solutions to business outcomes while guiding clients and teams.
Lead a team of data scientists to design, deploy, and monitor ML models for forecasting and customer analytics, driving AI adoption and scalable solutions.
Lead proSapient’s data platform rebuild into an AI-driven system: architect multi-agent workflows, unified vector/keyword/graph search, and cross-cloud data orchestration to power intelligent knowledge discovery for consulting and private-equity clients.
Lead AI/ML engineering for real-time object tracking and automated triaging using PyTorch/TensorFlow, while mentoring a team and coordinating multi-project data pipelines.
Lead a team to design and implement AI-focused test automation frameworks, validating LLMs, RAG, and agentic systems using tools like Playwright, Cypress, and DeepEval.
Build and deploy AI/ML models, LLM-powered apps, and agentic systems to solve industrial and sustainability challenges using Python, Spark, and cloud platforms.
Lead end-to-end development of ML/AI models and statistical solutions to drive business decisions in a large CPG company, partnering with supply chain, marketing, and finance teams.
Build secure backend services that power AI and generative-AI solutions for government systems, including model pipelines, APIs, and retrieval-augmented generation workflows.
Build and deploy data-driven open-banking solutions for credit decisioning and identity/income verification using Python, ML, and Plotly Dash dashboards.
Lead the design and operation of a cloud-based AI/ML platform, enabling data scientists to build, train, and deploy models at scale using Kubernetes, AWS, and MLOps tooling.
We couldn't check your fit for this role — add a CV to your profile to see it next time.