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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Prior experience with performance aspects of Operating system intrinsics (e.g.: Linux scheduling), GPU kernels (CUDA), or DL Frameworks (PyTorch, TensorFlow). More recently, NVIDIA has orchestrated the development and adoption of culture-changing technologies in Artificial Intelligence and Cryptography.
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Experience with Machine Learning tools (Tensorflow, Apache Spark) Experience with Machine Learning tools (Tensorflow, Apache Spark) Demonstrated experience with popular software stacks e.g. Python-Django, Ruby on Rails, LAMP.
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Experience working with data science tools and frameworks (e.g., TensorFlow, scikit-learn, PyTorch) is a plus. Develop frontend interfaces and user experiences using modern web technologies such as HTML, CSS, JavaScript, and frontend frameworks (e.g., React, Angular, Vue.js.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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What you will be doing: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.
$144,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Practical experience with deep learning frameworks (eg PyTorch, TensorFlow) and architectures (RNNs, LSTM, Transformers). COO who is a three-time co-founder/founding COO, with a history of raising over $500M in funding.
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Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet,. Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). Excellent understanding of data mining, predictive modeling, and data visualization.
$65,500 - $108,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience in wide variety of distributed systems and frameworks such as Apache Spark, Kafka, Airflow, TensorFlow , Docker, Snowflake and more. 5+ years of experience in wide variety of distributed systems and frameworks such as Apache Spark, Kafka, Airflow, TensorFlow , Docker, Snowflake and more.
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Security+ CE , CCNSecurity, CySA+, GICSP, GSEC, CND, SSCP)At least 5 years' Red Hat Linux experience Certificationexperience with: Lustre in distributed computing environmentsCluster Management toolsetand hardening Linux systems to meet RMF controlsvSphere 6 and up(BASH, Python, Perl)TensorFlow, similar toolsetQualified candidates with Red Hat certifications (RHCSA or RHCE) will be given priority.
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Familiarity with ML frameworks such as Tensorflow, PyTorch, OpenCV.Experience developing sensor fusion algorithms. Familiarity with ML frameworks such as Tensorflow, PyTorch, OpenCV.Experience developing sensor fusion algorithms.
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Experience with machine learning and deep learning and computer vision (TensorFlow and PyTorch) NeuroLogica is the global corporate headquarters and manufacturer of mobile computed tomography, and is also the US headquarters for sales, marketing, service and distribution of all Samsung digital radiography and ultrasound systems.
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Strong experience in PyTorch, TensorFlow, Transformer (BERT and/or GPT) Fine Tuning, Vector Indexing Search, Large Language Model (LLM) with Retrieval Augmented Generation (RAG). epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, Kafka, Knowledge Graph, SQL and non-SQL data store, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, a suite of in-house and third-party content publishing tools, A/B experiment design platform and a suite of commercial-advertising platform.
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Experience working in data analysis, modeling, and visualization packages in TensorFlow, Keras, PyTorch, Caffe, and Theano; and developing or integrating analytics in programming languages such as Python.
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