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Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful. 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
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Using RAG for improving NLP/LLM systems. Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
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Experience with GPU kernels, CUDA, NCCL, Pytorch, Tensorflow. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
$140,000 - $200,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Deep Learning frameworks such as TensorFlow or PyTorch. Marken is currently seeking an experienced Data Scientist to join our team, someone who is passionate about data-driven insights and has expertise in problem-solving, programming, statistics, machine learning, data analysis, data visualization, and exceptional storytelling skills.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. 7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing.
$231,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familuarity with deep learning frameworks like PyTorch and TensorFlow. Familuarity with deep learning frameworks like PyTorch and TensorFlow. As a member of the GPU/HPC Infrastructure team, you will provide leadership in the design and implementation of ground breaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads.
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Experienced with python and associated ML libraries such as Tensorflow. Software #Engineer #Intern #Machine #Learning. Software Engineer Intern – Machine Learning. We celebrate different perspectives to foster excellence across our organization, and our goal is to make diversity, equity and inclusion a foundation of what we do.
InternExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. ; git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
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Experience with deep learning frameworks like PyTorch and TensorFlow. Strong understanding of HPC batch schedulers, such as Slurm, RTDA or LSF and HPC workflows that use MPI. Experience with deep learning frameworks like PyTorch and TensorFlow.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT) Intelligent machines powered by Artificial Intelligence that can learn, reason and interact with people are no longer science fiction.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with building data pipelines in getting the data required to build, deploy and evaluate ML models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks. Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent.
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We assist companies and non-profit organizations in delivering benefits to their employees. Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks.
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Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies. Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.
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Object oriented Python programming and solid experience with machine learning libraries - Pandas, NumPy, Scikit-learn, TensorFlow, etc. The RoleFidelity’s Financial Intelligence Unit is looking for a data technologist to join our Cyber Fraud Investigations team.
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