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.
Lead the design and scaling of AI-powered products and algorithms to enhance guest experiences and operational efficiency in hospitality using machine learning and generative AI.
Design and operate AWS cloud infrastructure for scalable data platforms, AI/ML services, and web apps that power a global digital lottery system.
Coach and lead Agile teams to deliver software solutions using Scrum, Kanban, and Lean, removing impediments and mentoring members to improve delivery efficiency and quality.
Build and optimize scalable generative AI inference pipelines and APIs for Adobe Firefly, integrating models into Photoshop, Illustrator, and other products while focusing on latency and performance.
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
Designs and builds end-to-end data architectures (Bronze/Silver/Gold, semantic, analytics) on AWS with Databricks or Snowflake, supporting IoT, CCTV, and AI/ML workloads for a smart-city or climate-tech initiative.
Builds and deploys AI/ML systems, focusing on LLM fine-tuning, vector databases, and MLOps to turn prototypes into secure production solutions.
Principal Architect designs scalable generative AI platforms on AWS, creating end-to-end architectures and guiding teams to deploy secure, cost-efficient AI solutions in a hybrid work model.
Lead AI/ML and Generative AI projects from concept to production, coordinating cross-functional teams and ensuring Responsible AI compliance while driving enterprise adoption and performance tracking.
Build ML models and analytics for retail/e-commerce: forecasting, personalization, and generative AI for search and support using Python, Spark, and cloud platforms.
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Build AI-powered assistants and agents to automate IT infrastructure operations, troubleshooting, and engineering productivity using Python, RAG, and cloud-native tools.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and MLOps pipelines to accelerate therapeutic research.
Lead a team building AI-powered fraud detection, digital identity, and behavioural intelligence services using Python and Java, setting technical direction and modern MLOps practices.
Lead a team building AI-powered risk solutions, deploying ML services, and shaping platform architecture for fraud, identity, and credit risk products.
Build and deploy AI/ML models to improve search and discovery for researchers in intellectual property and science, using Python, cloud platforms, and MLOps tools.
Lead AI-driven time-series modeling and Agentic AI deployments for semiconductor manufacturing and facilities operations, building anomaly detection and forecasting systems at enterprise scale.
Build and deploy production-grade AI systems using LLMs, RAG, and multi-agent workflows to power enterprise applications at a major retailer.
Build, deploy, and monitor ML models and AI systems (including multi-agent setups) to predict customer behavior and power financial products at a LATAM fintech platform.
Build and deploy AI-driven travel systems: optimize airline pricing, automate agency workflows, and enhance GDS operations using ML, generative AI, and MLOps on GCP.
We couldn't check your fit for this role — add a CV to your profile to see it next time.