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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud.
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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.
$87,400 - $148,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide hands-on experience in developing deep learning model architecture from scratch using PyTorch or TensorFlow. Hands-on experience with deep learning libraries such as TensorFlow or PyTorch.
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The Mercedes-Benz Data and AI team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer's experience.
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Extensive knowledge in machine learning and hands-on experience in developing and implementing deep learning algorithms and generative models like VAEs, GANs, autoregressive models and transformers.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, 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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PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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We are seeking an active, hands-on, Software Engineering Manager who is passionate about the successful deployment of commercial systems employing deep learning and computer vision.
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Hands-on experience using Databricks or Apache Spark (i.e., PySpark, SparkR, or Scala) and understanding best practices. Hands-on experience with multiple programming languages – Python, SQL, Scala, R, Golang, C#, JavaScript, C/C.
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A master or Ph. D. is highly preferred 5+ years of industrial experience (relevant research experience for master/Ph. D. may be counted as industrial experience) Deep understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Contrastive Learning, Novelty Detection, etc.
$120,000 - $160,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This is a difficult hands-on engineering challenge that integrates biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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You have a deep knowledge of Python, and a strong understanding of modern deep learning, natural language processing, and the inner workings of the transformer architecture. At-home with on-hands programming – must have experience with Python and PyTorch/Jax/Tensorflow.
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deep learning hands on jobs Title: developer database
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