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Experience with deep learning frameworks such as Keras, Tensorflow, Pytorch, etc. Applying deep learning frameworks to challenges in social and behavioral science domains.
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Create, Modify and deploying code libraries, accelerators (GitHub) programming languages such as Python, R. Build Rapid prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification, tracking, etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc. Help partners identify and assess customer Artificial Intelligence (AI), machine Learning (ML), or Generative Artificial Intelligence (GenAI) opportunities to discover cloud solutions to recommend, plan, and address core market opportunities and use cases.
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This work involves combining deep learning and data fusion techniques with petabytes of satellite imagery (radar and optical), and billions of GPS positions from vessels, mostly from the Automatic Identification System (AIS) and Vessel Monitoring Systems.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Foster a culture of learning and innovation. Cultivates Csuite relationships with global cloud service providers (CSPs), digital services/SaaS providers, enterprise, cloud and public sector customers, independent software vendors (ISVs), system integrators (SIs), and managed service provider (MSP) partners to maximize utilization of Company product capabilities.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Utilizing statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning, as needed. Experience in designing and implementing algorithms involving one or multiple of approaches such as AI explainability, stochastic processes, classification, clustering, deep learning.
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Ability to work in deep learning, computer vision, NLP, or chatbot development. As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data.
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Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking. Proficiency in ML and Deep learning libraries in Python (MLlib, PyTorch, Keras, TensorFlow, etc.
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What We Do:Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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Interface with video capture, compression and deep learning hardware blocks. Computer vision and machine learning experience is a huge plus. Tags: Firmware Engineer | Software Developer | SDE | SWDE | embedded systems | embedded engineer | embedded software engineer.
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At least 2 years’ experience with Pytorch, Tensorflow or other Deep Learning frameworks. At least 2 years’ experience building advanced Deep Learning architectures (for example: RNN’s, CNN’s, Transformers.
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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.
$5Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Preference for experience working with geospatial data (SQL PostGIS, Python GeoPandas, ArcToolbox Deep Learning, etc.) As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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