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Internal Collaboration: Collaborate closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
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Contributions to open-source machine learning or data science projects. Senior-level Machine Learning Performance Engineer. Senior Machine Learning Performance Engineer.
$1,000,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Our team is seeking a Lead Software Engineer, Video Analytics to help us deliver excellent streaming experiences for Hulu and Disney+ as a developer of our client player. or Rust engineer who has video player and cross platform development experience.
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Protocol Engineer, Senior Software Engineer, Blockchain Developer, Blockchain, Web3, Crypto, Smart Contracts, Golang, Golang Developer, AWS, Kubernetes, Docker. As Protocol Engineer you will be mentoring more junior engineers and building highly scalable backend distributed systems and cloud infrastructure.
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Senior Applied AI Engineer. Technologies: Python, Flask, JWT, Postgres, Prisma, Docker, Postman. Backend: Node, Express, Prisma, Postgres, hosted on Heroku. Frontend: VueJS, tailwind-ui, firebase auth, hosted on Vercel.
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Should have knowledge of, but not expertise in, open-source high-code frameworks like PyTorch or TensorFlow, augmented AI and ML platforms, pretrained ML models and integrated AI PaaS tools.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) As a Lead Software Engineer at JPMorgan Chase within the Chief Technology Office’s Global Technology & Applied Research team, you serve as a seasoned member of an agile team to design and deliver production quality technology implementation in a secure, stable, and scalable way.
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This position is responsible for hardware and software support for our mission critical technical systems required for broadcasting live and pre-taped shows. The ideal candidate will have a solid technical IT background to support our on-air operations of server-based digital video and audio control systems, graphics and non-linear editing systems, automation systems and their associated software and hardware infrastructure.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills ISS Server 7+ administration,. As a Lead Software Engineer at JPMorgan Chase within the Corporate and Investment Bank for Neovest, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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MINIMUM QUALIFICATIONS A valid License for High Pressure Boiler Operating Engineer issued by the New York City Department of Buildings. ABOUT THE POSITION John Jay College's Facilities Management Department seeks a Stationary Engineer who will be responsible for maintenance and operations of noted equipment in the operation plant: -Central Chiller plant including, pumps, cooling towers, heat exchangers.
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Sales Territory or Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer.
$201,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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NVIDIA is looking to hire a Senior Distributed Acceleration Engineer to work on RAPIDS, a suite of open-source software libraries that accelerates end-to-end data science and analytics pipelines on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization but exposes high-performance GPU computing through user-friendly Python interfaces.
$276,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Industrial A/C refrigeration: Knowledge of high-pressure point-of-use pre-condition air systems, low-pressure glycol chiller systems, and repair and isolate system failures, as well as the related software for both high- and low-pressure control circuits systems.
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The successful candidates will contribute to the drug discovery effort as well as the development of novel therapeutics across several areas based on a strong interdisciplinary background, as our interests range from genome editing, bioengineering for scalable micro-tissue production, to machine learning approach for the analysis of high content phenotypic screens.
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