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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Expertise in open source data science technologies such as Python, R, Spark, SQL.
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Leverage a broad set of modern technologies including Python, R, Scala, and Spark to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
$79 - $80Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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5+ years of hands on experience with ML tools such as R, Python, Spark, SageMaker, TensorFlow, or similar- Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering etc.
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B. Python, R, TensorFlow, SciKit-Learn, SPSS), Natural Language Processing oder LLMs. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$136,000Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Some experience understanding the AI/Client approachesMust understand the package management for various environments (Python, R, and Hadoop environments)Must have experience with administration of Hadoop ecosystem specifically HDFS, Hive, and SparkPython, OpenCV, Keras/PyTorch/Tensorflow Deep Learning/Machine Learning, Computer Vision (Image Classification, Object Detection.
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Experience working in data analysis, modeling, and visualization packages in TensorFlow, Keras, PyTorch, Caffe, and Theano; and developing or integrating analytics in programming languages such as Python.
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Leidos is seeking an Artificial Intelligence (AI) Cybersecurity Researcher / Engineer to support the Department of Homeland Security (DHS) Office of the Chief Information Security Officer. Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc. 3+ years of experience writing production ready code in Python. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Strong experience with Python/R, forecasting methodologies, machine learning and statistics.
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Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools.
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Familiarity with deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch. Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Required skills: credit/financial modelling; cloud computing environments; machine learning techniques/algorithms (classification, regression, clustering, feature engineering, decision trees, gradient boosting); statistical skills (distributions, statistical testing, regression, regulation); R; Python; Anaconda; TensorFlow; Scikit-learn; Keras; SQL; H2O.ai; Redshift.
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You have over three years of practical experience in computational chemistry, cheminformatics, or related fields, and are skilled in Python, its scientific computing ecosystem, and SQL. You also have experience with version control systems like Git.
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Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
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