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Apply familiarity and skill with additional programming languages (e.g., Python, R), statistics, machine learning tools, data structure, data modeling, cloud computing, MS Azure, and Databricks to expand and enhance surveillance data value.
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Experience with cloud computing platforms such as AWS, GCP, or Azure. Strong background in machine learning, statistical modeling, and data mining. Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
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Senior Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) – Priceless Platform. Knowledge of cloud computing platforms (e.g., AWS, GCP) and experience deploying and scaling AI/LLM models.
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We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
$176,700 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The ideal candidate is an experienced software architect with experience in cloud infrastructure, machine learning and software development principles. Experience working with Docker containers and cloud-based computing environments; tools and platforms: GCP, Vertex AI, Kubernetes, Composer, Big Query.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with programming using a combination of the following: Python, MATLAB, machine learning and statistical programming, web-development, database query through SQL, high-performance computing, and scientific computing.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Qualified candidates need to be passionate about the Machine Learning and Artificial Intelligence space, will excel in problem-solving and combine an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Broad technology experience across AWS cloud architecture, applications development, relational databases, NoSQL databases, analytics, machine learning, networking, security, storage, DevOps, containers, serverless, CI/CD, cloud migrations, or IT transformations.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Familiarity with emerging technologies and trends such as cloud computing, microservices architecture, and DevOps. The Senior Technical Architect is responsible for participating in the working with to design, develop and implement IT architecture to meet application Migrations and AWS cloud implementations.
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The Senior Technical Architect is responsible for participating in the working with GTA to design, develop and implement IT architecture to meet application Migrations and AWS cloud implementations across State Agencies.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement.
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Develop and Implement cloud migration, modernization, and multi-cloud acumen to craft highly scalable, flexible, and resilient cloud architectures that solve customer business problems and accelerate the adoption of AWS services.
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