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Build and ship core ML components for production systems, focusing on data, training, evaluation, and inference with an emphasis on latency, cost, reliability, and safety.
Lead AI/ML projects designing and deploying enterprise GenAI and LLM solutions with scalable MLOps pipelines and cloud services.
Designs and builds AI/ML applications in Python, optimizes performance, and collaborates with distributed teams in a full-time remote role.
Build AI agent workflows and front-end tools using LLMs (OpenAI/Claude), MCP, and React/AngularJS to enhance eBay’s developer and business workflows.
Build and optimize tiny, ultra-efficient AI models for on-device computer vision and multimodal LLMs, shipping features like People Detection and Video Search to millions of cameras.
Research and develop state-of-the-art AI models for embedded devices, focusing on computer vision and multimodal LLMs to enable features like people detection and video search.
Own the AI-powered car and home insurance shopping experience, defining features for an agentic LLM product that integrates with ChatGPT and other services.
Build and deploy LLM-based AI solutions for customer support, including voice/text agents, while optimizing ML infrastructure and MLOps pipelines on AWS/Databricks.
Designs and deploys AI/ML models to automate ERP workflows, build demand forecasts, NLP systems, and LLM-based tools, and exposes insights via APIs and lightweight UIs.
Build and deploy AI/ML models, especially LLMs, to automate business processes and power data-driven decisions using Python and cloud services.
Build and deploy AI/ML models, especially LLMs, in Python to power data-driven business decisions and scalable backend services.
Build and scale real-time AI systems for crypto market intelligence, using LLMs, RAG, and streaming pipelines to turn social signals into actionable trading insights.
Design and implement computer vision pipelines for robotics systems, focusing on edge AI, sensor fusion, and real-world deployment performance.
Build AI-powered cybersecurity tools: design LLM pipelines, retrieval systems, and MCP infrastructure to help security leaders assess risk with trustworthy, actionable insights.
Design and architect scalable AI and machine learning platforms on Microsoft Azure, focusing on Agentic AI, ML optimisation, and intelligent edge solutions for enterprise clients.
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
Builds and maintains data pipelines, deploys ML models, and improves forecasting for a renewable-energy company.
Build AI models that power next-gen commerce experiences, designing data pipelines and scaling production-ready ML solutions for millions of shoppers.
Builds and integrates AI-powered content safety systems in Singapore, focusing on scalable ML models and secure workflows.
Develops bioinformatics pipelines and AI/ML data engineering for genetic testing insights in a research and clinical setting using Python, R, SQL, and UNIX/Linux.
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