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 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.
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.
Early-career role on AWS’s AI team helping customers adopt cloud-based AI/ML services like SageMaker and LLMs by translating technical capabilities into business value.
Build and deploy GenAI and ML systems that detect and mitigate cybersecurity threats across AWS infrastructure using SageMaker, Bedrock, and EMR at massive scale.
Drive end-to-end delivery of complex engineering programs for Toyota Financial Services, coordinating cross-team backend and full-stack initiatives using AWS serverless tools and agile practices.
Build and maintain AI-native applications using LLMs and agentic workflows in a regulated healthcare environment, with Python/Java, React, and AWS services.
Build and optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
Leads AI-driven gaming projects, managing cross-functional teams to deliver AI capabilities (e.g., models, cloud services) from concept to production, ensuring alignment with business goals and on-time execution.
Lead the design and governance of secure AI platforms at Singtel, embedding privacy, compliance, and explainability into AI/ML pipelines and cloud deployments.
Designs and leads enterprise-grade AI solutions for Singtel’s AIDA unit, integrating AI workflows, cloud-native architectures, and hybrid systems while collaborating with cross-functional teams to align technology with business goals.
Build and deploy large-scale AI systems and autonomous agents using ML, NLP, and multi-agent orchestration at enterprise scale for Walmart’s global operations.
Lead a team managing Fingerprint’s data warehouse and ML Ops pipeline, ensuring scalable infrastructure for fraud-detection models and analytics using ClickHouse, DataBricks, and AWS SageMaker.
Principal Data Scientist builds and deploys large-scale AI systems, autonomous agents, and ML pipelines at Walmart, using PyTorch, LangChain, and multi-cloud platforms.
Designs and governs Stanford Health Care’s enterprise data platform, enabling AI/ML, analytics, and LLM integrations to improve patient care and research outcomes.
We are looking for a Data Engineer to design, build, and optimise modern cloud-native data platforms that power enterprise-scale analytics and AI initiatives. You will play a key role in developing scalable data…
Build and fine-tune large language models to automate healthcare claims and conversational AI, using Python, PyTorch, and cloud ML platforms.
Lead the build and operation of an AI-native Internal Developer Platform across AWS and Azure, defining golden paths, cloud modernization, and observability to boost engineering velocity and AI workload deployment.
Build and deploy ML models for an Australian payments company using AWS SageMaker, Python, and MLOps practices.
Senior Data Scientist builds and deploys predictive models for customer behavior and lifetime value to optimize marketing spend and retention, using Python, SQL, and ML algorithms.
Senior Software Engineer applying ML/AI to fintech problems like fraud detection, user conversion, and transaction processing using Java, Scala, and GCP.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
