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Apply AI and ML techniques to improve the application functionality and usability, such as natural language processing, deep learning, or chatbots. Proficiency in programming languages like Java, Python, SQL, Go, Rust and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Nomad and Kubernetes.
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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.
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3+ years experience with deep learning frameworks, and with programming languages such as Python, R, MS SQL, MySQL, NoSQL, MongoDB, Tableau, Hadoop, Spark, and basic libraries (such as scikit-learn and pandas.
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We are looking for an experienced Senior Compiler Engineer with technical leadership experience with for an exciting role in our Compute Compiler Team. We deliver features and improvements to CUDA and other compute compilers to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. They should possess excellent programming skills and be proficient in popular machine learning frameworks such as TensorFlow or PyTorch.
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Solid experience in machine learning, deep learning, data mining, or artificial intelligence. c#, informatic, information technology, machine learning, matlab, programming, radar, robotics, software engineer.
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Must have) Technical Knowledge and Programming Expertise: Familiarity with large language models, deep learning, and neural networks. Deep knowledge in various programming languages including Mobile (Android), Web (Java, JavaScript, Python, Node, HTML), Embedded (FreeRTOS), Analytics, DevOps, and MLOps.
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More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
$220,000 - $419,750 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Solid foundation in machine learning and deep learning. Come join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field.
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Have a deep knowledge of the programming offered by national and local DEI thought leaders and the goals and objectives of law firm and corporate DEI programming. Working with the Chief Diversity Officer and the team of DEI professionals, and in coordination with the leaders of the Firm’s Diversity Infrastructure , the DEI Director will also interact with the Firm’s diverse lawyers, which includes women, minority/ethnic minority, LGBTQ+, and disabled lawyers, firm leadership, as well as identified strategic partners such as Marketing, Strategic Planning, Human Resources, Event Planning, Wellness, Learning & Development, and Legal Recruiting departments.
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Requirements:Knowledge, Skills, and Abilities:PhD in Computer Science or a related field with at least 1 years of experience OR MS in Computer Science or related field with at least 3-4 years of industry experienceExperience training and fine tuning LLMsExperience with time series anomaly detectionIn-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
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Familiarity with using deep learning/neural network modeling tools. Expertise in one or more of the following or related areas: optimization methods, machine learning tools, computational physics, and signals and systems.
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Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning. Experience with deep learning frameworks such as Keras, Tensorflow, Pytorch, etc.
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