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.
Senior ML engineer validates high-stakes financial models (credit, fraud, AML) and AI systems to prevent losses and regulatory violations, using Python, ML frameworks, and cloud tooling.
Senior ML engineer builds and maintains credit underwriting models for fintech products like Cash App Borrow and Afterpay, using Python, PyTorch, and AI tooling to decide loan terms and manage risk at scale.
Build and maintain scalable data pipelines and MLOps tooling to deploy, monitor, and version machine-learning models in AWS and GCP.
Build and deploy production-grade ML systems for personalization, search, and generative AI at Autodesk, using Python and frameworks like PyTorch or TensorFlow.
Build and maintain enterprise-scale back-end systems in C, Java, and SQL on Linux and Azure, mentor peers, and provide production support for distributed, event-driven microservices.
Develop and deploy AI/ML models for secure geospatial and intelligence systems, building scalable pipelines and APIs in AWS while collaborating with data scientists and engineers.
Build and deploy LLM-based AI agents and NLP systems for a new fintech product, including prompt engineering, RAG, and agent orchestration with LangGraph and MCP.
DevOps engineer builds and secures ML/AI pipelines, automates CI/CD for software and data-science teams, and manages on-premise GPU infrastructure with DevSecOps/MLSecOps practices.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
Build and deploy ML models, analyze messy enterprise data, and create self-service analytics tools using Python, SQL, and cloud platforms.
Build and maintain ML pipelines on Azure Databricks and MLFlow, orchestrating data workflows with Azure Data Factory for production-grade AI systems.
Build and maintain the AI platform infrastructure for crypto compliance products, including model serving, agentic workflows, and observability tooling using AWS, Kubernetes, and LLM frameworks.
Builds and deploys ML models end-to-end—from data pipelines to production inference—designing A/B tests and optimizing models for HR-product metrics.
OUR VISION When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more…
Build and deploy AI models for medical document recognition and NLP chatbots using PyTorch, FastAPI, and GPU servers.
Leads DevOps and AI infrastructure for monday.com’s BigBrain team, designing scalable Kubernetes/AWS pipelines, AI gateways, and AIOps agents to handle billions of daily events while mentoring engineers and ensuring security and reliability across global regions.
Build and maintain scalable MLOps infrastructure for AI/ML services, including Kubernetes clusters, GPU optimization, and LLM inference platforms to support Money Forward’s fintech products.
Build and maintain ML pipelines in Vertex AI and pioneer GenAI features like RAG and embeddings to power analytics and AI apps across the company.
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Senior Machine Learning Engineer Department: Engineering Location: San Francisco Employment Type: FullTime About the Role A growing AI and Data Science team at a healthcare-focused company is looking for a Senior…
We couldn't check your fit for this role — add a CV to your profile to see it next time.