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Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry. Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud.
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Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, Spark Mllib, etc. Preferred Hands-on Experience With HPC Nvidia, CUDA. MLOps to build & support scalable, highly available and robust Machine Learning (ML) /Deep Learning (DL) platform using ML/DL frameworks, High-Performance Computing (HPC) machines, Data Science tools, products & services in cloud and on-premises for client's data & analytics organization.
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Familiarity utilizing libraries and frameworks such as Keras, TensorFlow, and PyTorch. Familiarity utilizing libraries and frameworks such as Keras, TensorFlow, and PyTorch. Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy.
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Experience with containers and orchestration solutions including Docker, Kubernetes is a plusExperience with TensorFlow, PyTorch is a plus. Experience with containers and orchestration solutions including Docker, Kubernetes is a plusExperience with TensorFlow, PyTorch is a plus.
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In-depth knowledge of AI and machine learning libraries such as TensorFlow, PyTorch, Keras, Numpy, and Scikit-learn, and/or open-source/commercial graph databases. Conduct and propose initiatives in problems like supervised and unsupervised learning, classification, NLP (natural language processing) and text analytics, information retrieval, recommendation system and time series analysis using AI/ML, deep learning.
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Machine Learning libraries, such as TensorFlow, PyTorch, etc. The AI/ML Research Scientist will work with senior research scientists and managers to perform research and development of AI/ML technologies such as natural language processing and generative AI. Candidates are also expected to work with R&D teams to customize and apply developed technologies to problems of interest to our customers.
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Understanding of machine learning concepts and experience with ML platforms like Azure Machine Learning or TensorFlow. Proficiency in Microsoft Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake, etc.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Spring boot, Microservices, Docker, Jenkins, and REST API experience.
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Knowledge of tensorflow, jax, pytorch, and similar tools. Sony AI works closely with Sony’s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment.
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Familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras. Familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras. We are seeking an AI Engineer with experience in Python, Node.js, React, and AWS Cloud Foundation to join our team.
$118,640 - $186,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Proficient in Deep Learning: CV models, other data models (TensorFlow, Ansile). This position is for an Data Science entry level role in the Verizon Global Network & Technology organization. Analyze and gather input in areas including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
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IT experience of 10+ years with minimum of 6 years of experience in data science, specifically in developing predictive models using Data Science, AI/ Client, Python, TensorFlow. Data Science, AI/ Client, Python, TensorFlow.
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Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib etc. Machine Learning Data Scientist to build & support scalable, highly available and robust Machine Learning (ML) / Deep Learning (DL) platform using ML/DL frameworks, High Performance Computing (HPC) machines, Data Science tools, products and services in cloud and on -premises for clients data & analytics organization.
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Devlopment using libraries for python like Spark, sci-kitlearn , TensorFlow & PySpark. Work on HPC platforms containing GPU clusters from Nvidia. Devlopment using libraries for python like Spark, sci-kitlearn , TensorFlow & PySpark.
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We focus on three broad areas of digital services: User Experience (UI/UX, Commerce); Engineering (QE/Automation, Cloud, Product/Platform); and Data (Foundation, Analytics, and AI/ML), and have deep expertise in BFSI, healthcare, and life sciences.
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