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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 AI Framework Libraires: TensorFlow, Pytorch, scikit-learn. Over the past decade, we've shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes.
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Proficiency in programming languages such as Python, with hands on experience in AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with at least one cloud platforms / hyper-scalers (e.g., GCP, Azure, AWS, NVIDIA) and experience in deploying AI/ML models in cloud environments.
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Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and Azure AI services. Hands-on experience with infrastructure as code (IaC) tools, such as Azure Resource Manager (ARM) templates or Terraform.
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Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow Apache Spark, and experience with Generative AI models like GANs, Transformers, and Diffusion Models. Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow Apache Spark, and experience with Generative AI models like GANs, Transformers, and Diffusion Models.
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6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.
$151,800 - $253,000 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Keywords: Deep Learning, R&D, Tensorflow, Pytorch, CNNs, GANs, computer vision, network architectures, image, video enhancement, photography, machine learning, AI, artifical intelligence, variational auto-encoders.
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Database development and use for machine learning and big data applications Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Database development and use for machine learning and big data applications Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn.
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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.
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Deep knowledge of Data Science and related technologies (Python, R, scikit-learn, Tensorflow, PyTorch, etc.) Experience with cloud data warehouses (Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse, Databricks Lakehouse, etc.
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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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More than 3 years of hands-on expertise with Tensorflow or PyTorch. Your mission: guide researchers, develop cutting-edge deep learning models, and shape the future of imaging solutions. More than 3 years of hands-on expertise with Tensorflow or PyTorch.
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Proficiency in TensorFlow, Kubernetes, Kubeflow, Keras. Relevant Python programming and experience working with most of the following frameworks and libraries: TensorFlow, Keras, Pandas, NumPy, scikit-learn, Jupyter, Matplotlib etc.
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And JavaExperience using libraries and frameworks such as TensorFlow, PyTorch, Spark ML/MLlib, and JupyterExcellent verbal and written communication skillsAbility to multi-task and stay flexible in a dynamic work environment.
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You are very fluent in one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these. Expertise in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN, Transformer, and/or Transfer Learning in a production environment.
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tensorflow job in Irving, TX
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