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Leverage modern ML/NLP methodologies (e.g., deep learning), computing hardware (e.g., GPUs), cloud infrastructure (AWS/Azure), open-source modeling frameworks (e.g., TensorFlow, Keras, PyTorch, XGBoost.
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Experience with existing deep learning tooling (e.g., TensorFlow, PyTorch) Familiar with Deep Learning techniques for localization and mapping applications, especially feature detection and pose regression.
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Experience with the technologies listed above (e.g. Tensorflow, Kubernetes & Rust)Experience with robotics: arms, RGBD cameras, force sensors, etcExperience deploying machine learning models and/or systems in productionExperience working in startups/startup-like environment.
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Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
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Experience working with NLP based algorithms such as BERT, ALBERT and deep learning algorithms such as CNN, RNN, RBM, AutoEncoders, etc. Experience working with machine learning algorithms such as Scikit-Learn, TensorFlow, PyTorch, MXNet, etc.
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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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Knowledge of Deep Learning implementations for imaging (e.g. Super-resolution, deconvolution, Denoising Diffusion generative models, NERF models, GANs, latest mobile-friendly CNN architectures, Image Transformers etc) with PyTorch or Tensorflow.
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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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Visual Learning and Recognition, OpenCV, scikit-learn, Pandas, and Git; and two years’ experience with Machine Learning, Deep Learning, Robotics Perception and Planning, SQL, AWS, Robotics Control and Modeling, TensorFlow, Keras, and PyTorch.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 10 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition.
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Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.
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Experience designing and deploying with one or more of the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc. Experience designing and deploying with one or more of the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
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Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras. Linear Algebra: Understanding of deep learning algorithms.
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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) Proficient in machine learning, deep learning, computer vision, and image processing techniques.
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We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques. The role will present opportunities to work on large datasets and the ability to use innovative techniques in Artificial Intelligence ranging from various NLP methods, computer vision, and deep learning to enable solutions that will be directly impactful to our customers.
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