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Business Data Analytics, Computer Science, Data Science, Deep Learning, Machine Learning, Machine Learning Algorithms, Predictive Analytics, Predictive Modeling, Python (Programming Language), PyTorch.
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The Staff Data Scientist (Machine Learning Engineer) reports directly to the President, Neil Sanghavi. We are an equal-opportunity employer that does not discriminate on the basis of race, religion, national origin, age, gender, gender identity or expression, sexual orientation, genetics, disability, pregnancy, veteran status, or any other legally protected status.
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Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake or similar solutions. Data Science, machine learning or predictive analytics experience.
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Developing predictive models based on network traffic data and call data to analyze outages and possible security exploits using machine learning and deep learning. Experience with data MySQL, Hadoop, Redshift, Statistics, Machine Learning, Java, Python, R, Linux, Informatica Power Center, Salesforce, Oracle Netsuite, Streamsets, and Tableau is required.
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Our Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora s mission, continually up-leveling our team along the way.
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Significant experience with machine learning and deep learning frameworks such as sklearn and PyTorch/Tensorflow/Keras. Experience deploying machine learning models to production, particularly in a cloudenvironment (i.e. Azure, AWS, GCP.
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Exclusively focused on technical consulting around production-scale machine learning. Titles can be arbitrary, but for us this means a software engineer who writes code, builds infrastructure, and implements machine learning algorithms.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics. Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc.
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This role will focus on developing state-of-the-art machine learning models and solutions in the healthcare vertical. Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to or improve the performance/quality of existing health propensities and related data products.
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You'll be part of a team working on innovative manufacturing solutions for the aerospace industry, using intelligent automation, machine learning, and physics simulation. As a CNC Machinist (also known as CNC Mill Operator, CNC Lathe Operator), you'll operate and maintain CNC Mill (5+ axis VMC) and CNC Lathe (5+ axis) machines, perform machine setups for production runs, troubleshoot CNC machines, and read and interpret blueprints accurately.
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Hands on working Experience with AWS Services like EMR, Kinesis, S3, Cloud Formation, Glue, API Gateway, Lake Foundation, AWS Spark Databricks. Hands on working Experience with AWS Athena, Spark Databricks.
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3+ years of hands-on experience leveraging statistical and machine learning methods to deliver impactful solutions for measuring and managing credit risk, credit risk strategy, or other elements of the credit risk life-cycle.
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Key Skills: Data Modelling, Databricks, Snowflake & Machine Learning. Client is looking for a Senior Architect with Data Modelling Architecture & Databricks. Senior Data Architect / Data Modeler Architect.
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Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications. Knowledge of data privacy regulations (GDPR, CCPA, CRPA) and the impact these regulations have on data engineering framework.
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hands on machine learning jobs Title: solutions architect Company: Databricks Inc in Pittsburgh, PA
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