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Build and validate AI models for government use, ensuring real-world performance and trust. Work with image, video, text, and geospatial data using Python, TensorFlow, and PyTorch.
Design and implement AI/ML models for biomedical data, including genomics and clinical datasets, to support precision oncology and translational research using Python, PyTorch, TensorFlow, and LLMs.
Build and evaluate ML models, analyze customer conversation data, and create dashboards to improve AI-driven customer support experiences using Python, SQL, and cloud tools.
Build and deploy AI models for contact-center agents, focusing on real-time knowledge retrieval and generative responses using Python and deep learning frameworks.
Build and deploy LLM-powered AI agents and real-time augmentation systems for contact centers using RAG, multi-agent orchestration, and evaluation frameworks.
Build and deploy next-gen AI agents and real-time agent-assist systems using LLMs, RAG, and multi-step workflows to power customer-experience platforms for enterprises like United Airlines and Marriott.
Build and lead next-gen agentic AI systems at a Stanford-born AI company, designing scalable LLM workflows, robust evaluation frameworks, and real-time agent augmentation for enterprise contact centers.
NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new…
Leads the design, development, and deployment of ML models and generative AI systems to automate and enhance customer support across Block's brands like Cash App and Square.
Build and deploy NLP models and AI pipelines for a chatbot program, integrating with cloud services and collaborating with cross-functional teams.
Lead architecture and development of autonomous robotics navigation systems, including motion planning, task planning, and ML-based control for Amazon’s warehouse robots.
Lead AI/Data Analyst at SteerBridge builds predictive models and automation tools to transform DoD logistics data into actionable insights, using Python, TensorFlow, and simulation software.
Senior engineer optimizing ML model deployment and performance on embedded AI hardware for autonomous vehicles, using C++, CUDA, and TensorRT in a Linux environment.
Designs and secures cloud infrastructure (AWS/Azure/GCP) and ML pipelines, integrating cybersecurity best practices and compliance frameworks for enterprise systems.
Data Scientist in McLean, VA builds and runs NLP models, analyzes large datasets, and creates reports for a government sponsor using Python, SQL, and deep learning frameworks.
Lead a team building distributed, petabyte-scale data platforms that integrate AI/ML into enterprise applications, focusing on ingest pipelines, search infrastructure, and mission analytics.
Develop and deploy AI/ML models for secure geospatial and intelligence systems, building scalable pipelines and APIs in AWS while collaborating with data scientists and engineers.
DevOps engineer builds and secures ML/AI pipelines, automates CI/CD for software and data-science teams, and manages on-premise GPU infrastructure with DevSecOps/MLSecOps practices.
Build and deploy ML models, analyze messy enterprise data, and create self-service analytics tools using Python, SQL, and cloud platforms.
Research and develop deep learning models for autonomous vehicle systems, optimizing neural networks for Mobileye’s EyeQ chip and deploying production-ready AI solutions.
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