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 ML models using Python, TensorFlow/PyTorch, and cloud tools; engineer features, optimize pipelines, and productionize AI systems with MLOps.
About the Role We're an early-stage open-source MLOps infrastructure startup building the orchestration layer for ML pipelines and AI agent workflows. We're looking for a GTM Engineer to own our entire US…
Architects AI/GenAI product portfolios, defining target architectures, MLOps/LLMOps pipelines, and retrieval systems while ensuring Responsible AI and cost-efficient inference at scale.
Designs and owns production-ready AI and GenAI solutions, including LLMs, RAG, agentic systems, and MLOps/LLMOps pipelines, ensuring reliability, safety, and cost efficiency.
Build and deploy RAG systems and fine-tune LLMs to generate insights about flexible workspace usage, using Python, cloud MLOps, and vector databases.
Senior Machine Learning Engineer builds and deploys LLM-based AI systems, including agents and multimodal workflows, using Python, AWS, and CI/CD in a fast-paced consulting environment.
Maintain and update Udacity’s AI/Generative AI courses by debugging Python exercises, updating LLM frameworks (LangChain, LlamaIndex), and ensuring workspaces and cloud labs stay current with the latest tools and APIs.
Builds and maintains ML data pipelines for autonomous truck perception models, curating high-quality sensor annotations and delivering data for on-demand model training.
Leads data strategy, GenAI, and MLOps for an edtech company, building scalable AI platforms and guiding analytics teams to drive data-driven decisions.
Design and build scalable AI platforms using cloud services, MLOps pipelines, and Kubernetes to automate AI/ML deployment and monitoring for enterprise solutions.
Build and deploy AI/ML systems for B2B financial operations, focusing on invoice matching, payment reconciliation, and agentic workflows using LLMs and RAG in a fintech SaaS platform.
Build and maintain enterprise-scale AI and data platforms, automating operations with cloud and MLOps tools like Kubernetes, Terraform, and Jenkins.
Build and maintain the AI platform and data lakehouse, automating operations and deploying services using Python, Kubernetes, and MLOps tools.
Design and deploy production-grade AI/ML systems, owning the full lifecycle from data prep to deployment in a multidisciplinary team.
Data Manager - Senior (KP) Location: Springfield, VA TS/SCI REQUIRED Current CI polygraph is required immediately after starting (or already within scope) Position Responsibilities : 3+ years of experience with people…
Build and maintain data pipelines, query databases, and create visualizations for a government IT program using Python/JavaScript/Java and cloud architectures.
Data Manager - Senior - #826 Location: Springfield, VA - 100% onsite TS/SCI REQUIRED Required Experience/Skills: 3+ years of experience with people management experience and excellent communication and keen…
Lead the architecture and delivery of enterprise AI systems using LLMs, RAG, and AI agents, setting engineering standards and mentoring teams to build secure, scalable, and responsible AI solutions.
Lead Benevity’s Data Governance program: set standards, classify assets, enforce quality SLAs, and maintain the DataHub catalog so teams can trust their data.
Builds and deploys custom AI solutions—including generative models and LLMs—using Azure ML and MLOps pipelines, then integrates them into customer workflows.
We couldn't check your fit for this role — add a CV to your profile to see it next time.