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Data Scientists in the Machine Learning track work may focus on a particular area of the business such as clinical care delivery, customer experience, or payment integrity, or they may work across several areas spanning the organization.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Minimum of 7 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS IMinimum of 9-12 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS IIMachine learning: Strong mathematical foundation and understanding of the concepts underlying classic machine learning, deep learning, NLP, statistical modeling, and data analysis.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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We're looking for an enthusiastic and experienced Machine Learning Engineer to help us use AI to build impactful developer productivity tools for engineers across Block. Enjoy learning a new domain, hack MVP's, and iterate to improve product.
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Experience and understanding of machine learning and statistical models and methods. Every day we work to ensure that we maintain these competitive advantages and our position as a global leader in providing turnkey, battery energy storage solutions for utility-scale, commercial and industrial, and microgrid applications.
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Researches, designs, develops, and implements data-driven models and algorithms using machine learning, deep learning, statistical, and other mathematical modeling techniques.
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Minimum QualificationsPhD in Mechanical Engineering/Material Science/Electrical Engineering/Physics/Nuclear Engineering/Aerospace Engineering with experience in at least two of the following areas Computational plasmas, numerical methods Fluid dynamics, molecular gas dynamics, heat and mass transfer, reactive flows Programming, machine learning Experience with the use of laboratory data and analysis of experiments.
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Leveraging Databricks to build and optimize data workflows, machine learning pipelines, and data analytics solutions. Extensive experience with Databricks for data engineering and analytics tasks.
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The United States Coast Guard (USCG) is the maritime security, search and rescue, and law enforcement service branch of the United States Armed Forces and one of the country's eight uniformed services.
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AWS and Snowflake Data Engineer overview: Design and build reusable components, frameworks and libraries at scale to support analytics products. AWS and Snowflake Data Engineer requirements: Hands on experience in AWS - EMR [Hive, Pyspark], S3, Athena or any other equivalent cloudFamiliarity with Spark Structured StreamingMinimum experience working experience with Hadoop stack dealing huge volumes of data in a scalable fashionHands-on experience with SQL, ETL, data transformation and analytics functionsHands-on Python experience including Batch scripting, data manipulation, distributable packages.
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SSBO Mold Machine Operator B. Sets up, monitors, and controls mold machine functions. Mold Machine Operation. We also manufacture extruded seamless pipe, fittings, and forgings for power generation and oil & gas applications; commercial and military airframe aerostructures; and metal alloys and other materials for the casting and forging industries.
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With over 2,000 team members nationwide, Pearce delivers comprehensive engineering, maintenance, repair, and repowering solutions, ensuring the seamless operation of our nation’s wireless and wireline telecom, commercial and utility-scale solar and wind projects, EV charging stations, as well as large-scale power generation and energy storage assets.
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Python, Shell Scripting and Linux-based operating systems with applications in machine learning and image processing. This individual contributor position offers the chance to work on cutting-edge projects that impact the diagnostics field profoundly, focusing specifically on the development and integration of advanced machine learning and AI technologies.
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As such, it requires someone who can bring the experience of leading a major enterprise successfully through such digital transformations as migration to cloud infrastructures, enabling and transitioning to microservices, efficiency and scale through automation and SRE practices, and setting the strategy and vision for modern data management and analytics.
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