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Lead a team building next-gen AI agent platforms and scalable inference systems on Oracle Cloud Infrastructure, setting technical direction for production-grade autonomous workflows.
Build and lead ML systems that power Toast’s restaurant-focused AI products, focusing on scalability and real-world business impact.
Lead ML platform engineering at a payments company: design and ship ML systems, set quality standards, mentor engineers, and drive AI tool adoption to boost development velocity.
Build AI assistants that help users create and interact with 3D content using NLP, LLMs, and knowledge graphs.
Lead an agile team building AI/ML and business intelligence solutions for a Federal Regulatory agency using Python, AWS SageMaker, and Power BI.
Design and train neural networks for absolute, GNSS-free positioning using vision and inertial sensors, then deploy the models on microcontroller-class hardware for autonomous drones in contested environments.
Principal ML Engineer builds next-gen foundation models from petabyte-scale telematics data to assess driver risk, detect crashes, and improve road safety using transformers and self-supervised learning.
Principal Technical Product Manager, Machine Learning shapes AI-powered features for CMT’s DriveWell Fusion telematics platform, turning telematics data into safety insights and crash-prevention tools.
Principal Machine Learning Engineer at Doctolib in Paris designs and standardizes AI/ML systems across healthcare applications, focusing on LLMs, agentic solutions, and regulatory compliance.
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Build and deploy ML models to personalize Autodesk’s B2C eCommerce experience, from segmentation and recommendations to A/B testing and churn prediction.
Lead a small team to build and optimize real-time computer vision and tracking systems for sports performance analysis, deploying models on edge hardware and extending movement recognition capabilities.
Principal ML Scientist designs generative and predictive models for antibody design, leads research strategy, and deploys models in a high-throughput wet-lab platform to accelerate drug development.
Principal ML Engineer designs, builds, and deploys production-grade AI systems using LLMs and deep learning, integrating agent workflows across GCP, AWS, and Azure.
Lead AI/ML algorithm development for patient-monitoring systems, turning physiological signals into clinical insights and deploying models in regulated environments.
Lead R&D of AI/ML algorithms for patient-monitoring devices, turning physiological signals into clinically actionable insights and shepherding models from research to FDA-cleared production.
Build and lead agentic AI systems for travel planning, integrating LLMs with tools and APIs to create autonomous agents that anticipate traveler needs and personalize trip planning at scale.
Principal ML scientist at a digital-health company building longitudinal models and next-best-action algorithms to guide chronic-disease interventions using Python, cloud ML tools, and healthcare data.
Principal AI/ML Engineer at Fortive to define and lead enterprise-scale AI strategy, architecture, and platforms, including LLMs, Agentic AI, and MLOps/LLMOps.
Principal AI/ML Engineer defines enterprise-wide AI architecture, standards, and roadmap, leading large-scale LLM, Agentic AI, and MLOps/LLMOps platforms.
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