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Key Responsibilities: Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Responsibilities include mold design and development, creation of engineering data which includes models and drawings, working with Design, Process Engineering, and Quality, and working directly with tooling vendors.
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Master's in Computer Science, Computer Information Systems, or Management Information Systems plus three years of experience in software development using Python, Alteryx, SQL, OTBI reporting, Oracle BI Publisher, Oracle Fast Formulas, HCM Extracts, SOAP, REST API services, Workday HCM Modules, Workday Studio, Enterprise Interface Builder (EIB), Workday Report Writer, AWS Application Integration, Tableau, Excel, and JIRA. Excellent communication (oral and written) skills are also required.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Job Description We have multiple openings for Computational Bioengineers who will conduct research leading to our next-generation, machine learning-driven computational pipeline for protein design and optimizing protein-protein interactions as part of the Center for Predictive Bioresilience (CPB.
$245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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Ensure that all data in eMoney is accurate, including asset allocation, and new accounts/transitions are incorporated in tandem with Albridge (data aggregation and performance reporting tool.
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MINIMUM REQUIREMENTSEducation: Bachelors Degree in Electrical EngineeringorEducation: Bachelors Degree in Architectural Engineering - ElectricalorEducation: Associate Degree in Electrical TechnologyExperience: 4 years of progressive electrical engineering relatedTravel:Work Schedule:KEY RESPONSIBILITIESStudies technical drawings and worksheets to create or update an engineering model in ETAPOperates computer-assisted engineering and data entry software and equipment to perform engineering tasks.
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Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Hands-on experience working in data warehousing, data engineering and building machine learning models for solving complex problems using AWS services (7+ years); Experience with Design and build machine learning models and algorithms to solve complex problems.
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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. 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.
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Operates computer-assisted engineering and data entry software and equipment to perform engineering tasks. Leverage Technology: Our virtual design and build programs that offer the latest in robotic total stations, 3D scanning, virtual and augmented reality and drone surveillance and assessment.
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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Regularly interact with the team to reinforce machine learning and data concepts, and guide them in the creation of product features with Generative AI, NLP, deep learning, and classical machine learning techniques.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago
machine learning data management software engineering design build jobs Title: data engineer
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