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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.
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Build machine learning models in open source packages like Python and deploy using cloud infrastructure available in Amazon Web Services and Azure ML Studio. Selecting analytics tools to manage model lifecycle across groups and be experienced in open source tools like Python, R, Tensorflow, keras (Deep learning libraries) etc.
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10+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product-oriented ML solutions. Senior Machine Learning Engineer At Altana Location: Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England.
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Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale. Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.
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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning. Machine Learning and Deep Learning: Utilize machine learning frameworks (e.g., TensorFlow, PyTorch) to train and optimize NLP models.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning, Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse. Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning , Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse.
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Keywords: LLM, Large Language Model, Machine Learning, Deep Learning, ML, Neural Networks, NLP, Natural Language Processing, Applied Scientist, Open-Source, OSS, Quantization, Sparsity, Pruning, Neural Architecture Search, Hardware Acceleration, Training, Inference, Tensorflow, PyTorch, JAX.
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Experience with machine learning and deep learning frameworks such as PyTorch and TensorFlow. Stellar Science is a growing Albuquerque-based scientific software development company seeking talented data science artificial intelligence (AI)/machine learning (ML) experts who are interested in helping create, extend, and apply exciting scientific and engineering analysis applications.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Primary Responsibilities Build machine learning models in open-source packages like Python and deploy using cloud infrastructure available in Amazon Web Services and Azure ML Studio.
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machine learning source jobs Company: Block
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