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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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Experience with machine learning including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow. Seeking a talented, versatile data scientist with Top Secret US Government security clearance to join a fast-paced team working on cutting-edge technologies and use cases.
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Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks. Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar. Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks.
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At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Strong proficiency in programming languages such as Python, Java, or Scala, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Infrastructure Provisioning and Orchestration: Architect and deploy scalable infrastructure for ML workloads using cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes.
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Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch. Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch. Director - Talent Acquisition.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Demonstrated hands-on experience in Python, Javascript, and R.Demonstrated hands-on experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch. Demonstrated hands-on experience in Python, Javascript, and R.Demonstrated hands-on experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
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Knowledge of AI/ML libraries, models, and tools e.g., LLAM2, Pytorch, TensorFlow. Must have experience with Data Engineering, Data analysis, Data mining, Data visualization, Statistics, and/or Graph algorithms.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
$200Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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AI/ML technologies and packages, such as TensorFlow, PyTorch, and scikit-learn. Russian language ability. Python development with expertise in Python data analytics packages such as pandas, numpy, scipy, gensim, and scikit-learn.
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Programming skills in Python, R, and SQL.Experience with NLP and AI frameworks such as NLTK, Spacy, TensorFlow, or PyTorch. Programming skills in Python, R, and SQL.Experience with NLP and AI frameworks such as NLTK, Spacy, TensorFlow, or PyTorch.
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Demonstrated experience in deep learning algorithms such as Convolutional Neural Networks (CNN), Recurrent Neural networks (RNN), Gated Recurrent Unit (GRU), or advanced deep learning packages such as TensorFlow, Keras, Pytorch, Caffe, or Theano.
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Familiar with PySpark and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries. Experience with Apache Airflow and Apache Spark.
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Experience designing and deploying Machine Learning (ML) frameworks (e.g., TensorFlow, PyTorch, JAX, Spark ML, etc. As a Cloud Solutions Architect on the Google Public Sector team, you'll drive the development of Google Cloud Platform (GCP) prototypes in collaboration with customers and internal teams.
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Experience with TensorFlow, PyTorch and other common AI Frameworks and Libraries. Understanding of DevSecOps and secure coding best practices. Solid foundation in software development and experience with Python, Rust, C#, C.
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