{"schemaVersion":"jobsearcher.job.v1","id":"008ca61664e2954317a70147","url":"https://jobsearcher.com/jobs/008ca61664e2954317a70147","canonicalUrl":"https://jobsearcher.com/jobs/008ca61664e2954317a70147","title":"Principal Data Scientist/AI Engineer","description":"This role is based in Canada or France. Currently, we are looking for highly innovative energetic principal data scientsts with experience in enterprise scale deep learning, forecasting and decisioning model. You are an awesome problem solver who is both methodical and creative. You can learn any new technology, are not ashamed of admitting errors, love to take on new challenges, and a great team player. Strong algorithmic background is required and will be thoroughly evaluated. Strong at-scale experience building decisioning models using Deep Reinforcement Learning or other approaches is a must. Experience building and deploying high performance deep-learning models using either Tensorflow or PyTorch on significant complexity industrial/commercial data-sets is a must. Preference will be given to candidates with significant time-series modeling experience.\n\nWe'd love to chat if you have:\n\nA PhD or MS in an analytical field such as CS, EE, Statistics, Math, or Physics, from a top 10 AI university is required, along with a minimum 6 years industry experience building reference-able work.\nProficiency in Python and machine learning libraries such as Scikit-learn, Pandas, Tensorflow, PyTorch, etc\nDemonstrated strong experience with Deep Reinforcement Learning\nExperience building large scale models with Reinforcement learning, LSTMs, CNNs, GANs, and Gradient Boosting is required.\nExperience deploying end-to-end ML models to production\nExperience with time-series data analysis\nEfficient communicator with customers as well as across all levels of the organization\nComfortable with remote work and distributed team\n\nExtra Brownie Points:\n\nExperience with Docker, and Kubernetes\n\n\"Big Data\" solutions such as Spark, and Kafka\nExperience with cloud environments such as AWS/GCP/Azure\n\nIf you want to get into the founding engineering team of one of the valley's top teams developing one of the most innovative and unique cloud AI SaaS in multi-trillion USD industry sectors with massive global implications on the planet and humanity, you've found it and we would love to hear from you very soon.\n\nSound exciting? please submit your resume to resumes@deepvu.co","company":"Deepvu","rawCompany":"deepvu","city":"Berkeley","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:19:24.306Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Principal Data Scientist/AI Engineer","description":"This role is based in Canada or France. Currently, we are looking for highly innovative energetic principal data scientsts with experience in enterprise scale deep learning, forecasting and decisioning model. You are an awesome problem solver who is both methodical and creative. You can learn any new technology, are not ashamed of admitting errors, love to take on new challenges, and a great team player. Strong algorithmic background is required and will be thoroughly evaluated. Strong at-scale experience building decisioning models using Deep Reinforcement Learning or other approaches is a must. Experience building and deploying high performance deep-learning models using either Tensorflow or PyTorch on significant complexity industrial/commercial data-sets is a must. Preference will be given to candidates with significant time-series modeling experience.\n\nWe'd love to chat if you have:\n\nA PhD or MS in an analytical field such as CS, EE, Statistics, Math, or Physics, from a top 10 AI university is required, along with a minimum 6 years industry experience building reference-able work.\nProficiency in Python and machine learning libraries such as Scikit-learn, Pandas, Tensorflow, PyTorch, etc\nDemonstrated strong experience with Deep Reinforcement Learning\nExperience building large scale models with Reinforcement learning, LSTMs, CNNs, GANs, and Gradient Boosting is required.\nExperience deploying end-to-end ML models to production\nExperience with time-series data analysis\nEfficient communicator with customers as well as across all levels of the organization\nComfortable with remote work and distributed team\n\nExtra Brownie Points:\n\nExperience with Docker, and Kubernetes\n\n\"Big Data\" solutions such as Spark, and Kafka\nExperience with cloud environments such as AWS/GCP/Azure\n\nIf you want to get into the founding engineering team of one of the valley's top teams developing one of the most innovative and unique cloud AI SaaS in multi-trillion USD industry sectors with massive global implications on the planet and humanity, you've found it and we would love to hear from you very soon.\n\nSound exciting? please submit your resume to resumes@deepvu.co","datePosted":"2026-04-12T20:19:24.306Z","dateModified":"2026-04-12T20:19:24.306Z","hiringOrganization":{"@type":"Organization","name":"Deepvu","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"008ca61664e2954317a70147"},"url":"https://jobsearcher.com/jobs/008ca61664e2954317a70147"}}