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Build and evaluate AI agent architectures that work reliably across different models, providers, and environments, focusing on portability, interoperability, and optimization.
Design and deploy enterprise AI solutions, integrating custom models with cloud AI services and building scalable MLOps pipelines for training and production.
Build and optimize large-scale data pipelines and integrate LLMs into production systems for Docusign’s Intelligent Agreement Management platform.
Lead AI/ML engineering for agentic and LLM-powered workflows that enhance enterprise platforms and boost productivity at JPMorganChase.
Design and deploy AI/ML solutions for enterprise clients, including custom models, GenAI/LLMs, and scalable MLOps pipelines in cloud environments.
Designs and builds scalable AI/ML systems for enterprise clients, including data pipelines and deep learning models deployed across cloud, edge, and HPC environments.
Design and deploy GenAI and ML solutions for enterprise clients, building scalable MLOps pipelines and tailoring LLMs to business needs.
Senior ML Engineer to research and build AI models for physical systems like robots, combining reinforcement learning, multimodal models, and real-world robotics in a collaborative research environment.
Build production ML systems to predict cybersecurity threats and prioritize risks using predictive models, large datasets, and MLOps pipelines.
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.
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