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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
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Familiar with Machine Learning life cycle, with knowledge of feature stores, MLflow, model registries, model deployment, model serving, and model monitoring Familiar with PySpark and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries Experience in leading teams through uncertainty and ambiguity in a product team environment.
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1+ years’ experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, etc. Experience with Azure, Databricks, Realtime deployment, Kubernetes, and cloud-based services such as AWS or Microsoft Azure are a plus.
$66,000 - $157,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning EngineerRemote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer.
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In depth experience with Spark/Hadoop and PyTorch/Tensorflow. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
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As the Software Development Manager for the ML Applications - Framework team, you will be responsible for leading a strong team of engineers to help design and deploy ML applications/usecases on various frameworks such as Pytorch, JAX, Tensorflow.
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Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost). We are seeking a highly-skilled and experienced Senior Machine Learning Engineer to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care.
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At least 2 years’ experience with Pytorch, Tensorflow or other Deep Learning frameworks. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Pytorch, Tensorflow and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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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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Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C.
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Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow. These teams are made up of other software team members and subject matter experts from the areas of systems engineering, hardware, firmware, machine learning, RF front end design, and signal processing.
$78,000 - $141,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
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tensorflow job in Washington, DC
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