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Build evaluation and benchmarking infrastructure for an agentic AI platform at a cybersecurity company, using Python, LLM evaluation frameworks, knowledge graphs, and vector databases.
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI…
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as…
Senior Scientist applies machine learning and molecular modeling to design and optimize antibody therapeutics for cancer and immune diseases using protein data and advanced AI methods.
Build AI-driven cybersecurity tools by developing agentic systems, LLMs, and ML models to detect and respond to threats for SOC/SIEM/SOAR platforms.
Build and deploy enterprise generative AI apps using Azure OpenAI, LangChain, and RAG pipelines; integrate LLMs into microservices and agent workflows.
Build and deploy AI-enabled applications and agentic workflows for clients, designing the systems around models, tools, and safeguards to ensure reliability in production.
Design and integrate AI models into transportation infrastructure software, ensuring outputs meet civil engineering standards and improving data quality for safer, smarter cities.
Designs multi-agent AI systems for marketing workflows, ensuring brand-safe, scalable outputs across text, image, and video for global brands.
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.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Designs and implements generative AI solutions for financial risk modeling and fraud detection using LLMs and Python, collaborating with cross-functional teams in a hybrid office setting.
Senior AI Engineer at DV Trading builds and deploys custom AI models for proprietary trading, fine-tuning open-weight LLMs and operating on-prem inference infrastructure to reduce costs and latency.
Build and ship production-grade LLM systems, RAG pipelines, and agentic workflows on Databricks, optimizing for latency, cost, and reliability while mentoring peers.
Build and deploy AI/ML models (LLMs, NLP, deep learning) for client projects, from requirements to production, using Python, SQL, and cloud tools (AWS/GCP/Azure).
Builds Google’s next-gen cross-channel ads platform using generative AI, multi-agent systems, and Google Cloud, collaborating with enterprise advertisers and agency partners.
Build and deploy realtime intent-drift detectors for AI coding agents running on developer machines, using small open models and local-first Python tooling.
Develops AI/ML solutions for warehouse design automation, working with LLMs, RAG pipelines, and integrating models via FastAPI. Core technologies include Python, PyTorch, TensorFlow, Docker, and cloud infrastructure on Yandex Cloud.
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.
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