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Experience in assessing and implementing new data tools to enhance the machine learning stack. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in St. Louis, MO. · Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
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Data Science & Machine Learning Frameworks. Python (for preprocessing, data analysis, machine learning, scripting) TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI.
$75 an hourRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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.
$131,584 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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Post-doctoral research experience is desired as well as research or training in areas such as machine learning and/or deep learning in a biomedical context, signal processing and analysis for biomedical data, bioinformatics, computer vision, or other related areas.
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Experience building and optimizing best practice Enterprise Risk Management, Third Party Risk Management, Risk Quantification, as well as Data Governance and Artificial Intelligence (AI.
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ML | AI | Machine Learning | DevOps | Data & Analytics | Infrastructure | CI/CD | Terraform | Gitlab | Azure Devops | AWS | Azure | DataBricks | Ansible | Apache Spark | Kafka | Kubernetes | Docker | Linux.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are seeking a highly skilled Data Governance Specialist with expertise in Microsoft Purview , Databricks Unity Catalog , and Profisee (preferred but not required). Define and implement the data governance policies supporting multiple data domains using tools such as Microsoft Purview , Databricks Unity Catalog , and Profisee.
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AI Model Optimization: Work closely with data scientists and machine learning engineers to optimize NLP models, dialog management, and virtual agents. Proficiency in NLP: Strong knowledge of natural language processing (NLP) and machine learning concepts, with experience building and training virtual agents.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
modern data governance machine learning jobs Company: Mckesson Corporation
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