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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Knowledge of deep learning frameworks with a focus on Microsoft’s Cognitive Toolkit (CNTK), TensorFlow and PyTorch. Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics.
$135,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Experience in developing or using deep learning frameworks (e.g. Tensorflow, Keras, Caffe, PyTorch, ONNX, etc.) XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and LLM designs Strong communication and interpersonal skills along with the ability to work in a dynamic and high distributed team Comfortable working across highly matrixed organizations and navigating cross functional relationships and conflicting priority and challenges.
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Strong expertise in machine learning algorithms, deep learning frameworks (eg, TensorFlow, PyTorch), and statistical modeling techniques. Experience with big data technologies (eg, Snowflake, Google BigQuery) and cloud computing platforms (eg, AWS, GCP, Azure.
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2+ years of hands-on experience with machine learning tools and libraries (scikit-learn, TensorFlow/Keras, PyTorch, Huggingface, AWS Sagemaker and/or Databricks etc.) 2+ years of hands-on experience with machine learning tools and libraries (scikit-learn, TensorFlow/Keras, PyTorch, Huggingface, AWS Sagemaker and/or Databricks etc.
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Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components.
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Experience with common machine-learning Python libraries such as SKlearn, PyTorch, TensorFlow, Keras, etc. PhD in Mathematics, Data Science, Computational Biology, Bioinformatics, Engineering, or related scientific field.
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Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java.
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Solid programming skills 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C. Solid programming skills 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge and experience with big data platforms (AWS, Azure, Spark) and ML/AI languages and tools (Python, TensorFlow, PyTorch) The Data Science and ML team member develop innovative data science models and machine learning algorithms to drive digital product experience and sales growth for SGWS. This role will be focused on developing and deploying personalization and recommendation, search, experimentation, and marketing AI solutions.
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Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. We are looking for a motivated data scientist to both improve our industry leading algorithms in risk adjustment and help us evolve our product offerings into new market segments.
$144,000 - $176,000 a yearExpandApply NowActive JobUpdated Today
tensorflow job Title: educator Company: Brainstation in Dallas, TX
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