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Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras. Familiarity or experience with developing solutions for proposal within any of U.S. Government Agencies, to include but not limited to the following: Department of Transportation (e.g., FAA), NASA (including JPL), Department of Commerce (e.g., NOAA), or Department of Energy (e.g., HQ, NNSA.
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Proven e xperience in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow , Pytorch) Proven e xperience in Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
$110,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with modern deep learning frameworks such as PyTorch or TensorFlow. Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Tensorflow. SynergisticIT continues to work with hundreds of satisfied American clients with our software programmers working on our projects and after gaining hands on experience on cutting edge technologies moving to contribute their skills to great clients like Apple, Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more.
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Expertise in Python programming and relevant libraries (e.g., TensorFlow, Keras, PyTorch) 100% Remote Machine Learning Engineer with LLM and RAG Experience. Job Title: Machine Learning Engineer with LLM and RAG Experience.
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At least 2 years’ experience with Pytorch, Tensorflow or other Deep Learning frameworks. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Pytorch, Tensorflow and more — to reveal the insights hidden within huge volumes of numeric and textual data.
$229,900 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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2+ years of experience working with modern AI capabilities in ML such as Scikit-learn or pandas, including deep learning such as Tensorflow or Keras, natural language processing such as Gensim or NLTK, large language model.
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Experience with machine learning architecture and neural network design and implementation, utilizing tools such as Tensorflow and/or Pytorch. DCS is looking for an experienced software engineer to support modeling, simulation, and analysis of IRCM (Infrared Countermeasure) and MWR (Missile Warning Receiver) systems along with the development of requirement and techniques working at customer facility in Washington, DC.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. AI/MLOps GPU accelerated solutions in cloud computing environments, such as AWS, GCP, Aure and OCI.Experience with virtualization and/or cluster management tools, such as Docker/Containers/ Kubernetes.
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Design, program, and utilize modeling and simulation (M&S) tools in the development and analysis of IRCM & MWR techniques and requirements. Utilize machine learning (ML) algorithms in order to tackle challenging IRCM & MWR problems.
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And machine learning software implementation using machine learning libraries, including TensorFlow, Pytorch, or Keras. Experience with hardware, software integration, EO/IR, passive and active radar integration, digital signal processing, and with in-field testing and validation of systems.
$110,100 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). At least 2 years’ experience building advanced Deep Learning architectures (for example: RNN’s, CNN’s, Transformers.
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Experience with modern Deep Neural Network framework (e.g. RNN, LSTM, Transformer) and tools (e.g., PyTorch, TensorFlow). Managing model risks in line with Visa Model Risk Management requirements.
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Experience in AI, Python programming and one of the following Deep Learning frameworks, PyTorch, MXNet, TensorFlow, Keras, and big data te chn ologies like Hive, PySpark, Synapse, and Databricks.
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tensorflow job Title: associate educator Company: Brainstation in Falls Church, VA
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