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Knowledge developing and debugging in Python, GoLang, Perl, and some knowledge in Tensorflow and model deployment tools like Airflow, Databricks, AWS, Docker. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes.
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Experience with a deep learning framework (e.g. TensorFlow, Torch, SageMaker) You will have the opportunity to work with technology including Snowflake, FastAPI, Airflow, TensorFlow, PyTorch, PostgreSQL, SQL, AWS, Docker, Kubernetes and more.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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SpaCy, NLP, NLU, Information Extraction, Prodigy, Python, Tensorflow, Keras, Transformer, Healthcare, Clinical Data, EHR, Radiology, Machine Learning, SQL, Unix Shell. Deep understanding of NLP fundamental concepts and models, such as language modeling, word embeddings, topic modeling, text categorization, information extraction, natural language understanding, transfer learning.
$152,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX. - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
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Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and their application to computer vision, natural language processing (NLP), or other AI domains. - Implement and fine-tune machine learning and deep learning models using industry-standard frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience with Machine Learning and related technologies such as Tensorflow Python, Torch, Amazon SageMaker, Jupiter Notebooks, git. + Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Experience with Python and modern deep learning frameworks, such as Keras, TensorFlow, pyTorch, caffe. Develop software for the deep learning or production ML lifecycle, formed from machine learning or ML and operations or Ops. These include ML and DevOps methods, as well as data engineering processes for deploying and maintaining machine learning models in production.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience with Machine learning, Deep learning, CUDA, UI/UX, TensorFlow, Video processing and / Experience with Machine learning, Deep learning, CUDA, UI/UX, TensorFlow, Video processing and.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Deep understanding of AI technologies including LLM, RAG, Deep Learning. Work experience with modern AI frameworks like Pytorch, Tensorflow. Development with tools like Intel OneAPI or Nvidia CUDA.
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Proficiency in advanced machine learning techniques (Torch/TensorFlow, neural network architectures). Proficiency in Data Science, Machine Learning, Automation, and modeling workflows.
$150,000 - $190,000Part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in deep learning, TensorFlow/PyTorch preferred. Possessing a keen sense of data intuition and the ability to innovate in the field of machine learning, as evidenced by achievements like first-author publications or project successes.
$102,400 - $187,700 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Proficiency in Python and experience with machine learning frameworks such as Tensorflow, Keras, and Scikit-learn. We are seeking a highly skilled and versatile individual to join our team as a Machine Learning Engineer.
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X), Git, gRPC, WANDB, async-io, Tensorflow (and tf-serving), ONNX, OpenCV, Docker and Kubernetes. Familiarity with scientific libraries and frameworks such as Numpy, Tensorflow, Keras, Scikit Learn, OpenCV, ONNX.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience working with machine learning frameworks (e.g. scikit-learn, xgboost, PyTorch, TensorFlow) and distributed big-data tools (Spark, Hive) 2+ years of professional experience as a Machine Learning Engineer, Data Scientist, or equivalent role, focusing on machine learning, statistical modeling, and/or ML infrastructure.
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Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch. You will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
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