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Gain deep understanding of driver needs, Amazon Flex and SDS business and operations strategy, and the WWCS and Last Mile technology landscapes to align most impactful opportunity for large language model (LLM) empowered product features.
$196,900Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing. - Deep Learning. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting.
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CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, developing Deep Learning models for estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces.
$151,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience applying machine learning and deep learning to vision data, preferably direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch. and Python, with knowledge of OpenCV and programming on GPU using OpenGL or CUDA/CuDNN or TensorRT.
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Knowledge of Artificial Intelligence (AI) tool such as Microsoft Copilot, other AI principles, methods, and tools used to design systems that perform and apply human-like intelligence functions such as neural networks, deep learning, natural language processing, robotics, and image recognition.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$136,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop artificial intelligence, machine learning, deep learning, and natural language processing algorithms. Experience creating and implementing machine learning processes to large data sets.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Working knowledge of deep learning, machine learning and statistics. Experience with statistical modeling / machine learning. As a Principal Product Manager, you will drive the product strategy across multiple domains including the governance of regulatory requirements, the identification of applicable policies, and the collection and evaluation of compliance artifacts.
$161,900Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are open to hiring candidates to work out of one of the following locations:Boston, MA, USA | San Jose, CA, USABASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc. Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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Deep learning frameworks like PyTorch and TensorFlow. Broad and deep understanding of the issues that affect GPU performance, CPU performance, and scaling performance. C, modern Fortran, HIP, CUDA, Python, MPI, OpenMP, etc.
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Work with a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Knowledge of and Certifications in Artificial Intelligence (AI)/Machine Learning (ML) principles, methods, and tools is preferred. Utilize git-based processes and commands for source control in DevOps, cloud hosted resources like SQL servers, web app servers in Azure and AWS, and Microsoft.net Maui and Xamarin for mobile applications.
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Demonstrate deep knowledge and hands-on experience with various GCP services, including but not limited to Compute Engine, Cloud Storage, BigQuery, Dataflow, and Kubernetes Engine. We are seeking an experienced and highly skilled Senior Solutions Architect with elite caliber expertise in Google Cloud Platform (GCP) and Artificial Intelligence/Machine Learning (AI/ML.
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Familiarity with deep learning techniques and frameworks. Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Utilize Python and other relevant tools to build and optimize machine learning algorithms.
ExpandApply NowActive JobUpdated 2 months ago
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