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Proficiency in Python and familiarity with AI and machine learning libraries like TensorFlow, PyTorch, OpenCV. Partner with data engineering and product engineering when needed to scale work.
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Applicants should have training and a significant track record in one or more of the following areas: -AI, deep learning methods-atmospheric, climate, and/or weather modeling-computer science, statistics, and/or machine learning with applications relevant to genomics-population genetics / genomics.
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Proven ability of overseeing EDC build, UAT, data collection, data processing, coding, validations, database lock and directing a team of data managers working across multiple studies.
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Banks use financial engineering to transform a variety of assets, such as residential and commercial mortgages, CLO’S, auto and student loans, and credit card debt, into securities that are structured to meet nearly any investor appetite.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with data management teams, including data architecture, data engineering, and metadata management to ensure alignment and integration of data stewardship activities in accordance with enterprise data management policies and standards.
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Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life. Education and Experience: PhD degree in either in Physics, Chemistry, Material Science or Engineering with experience in materials characterization and surface analysis techniques and equipment.
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Bachelor of Science in Civil Engineering from an ABET accredited institution. WSP USA is the U.S. operating company of WSP, one of the world's leading engineering and professional services firms.
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Solid intuition with electromagnetics; signal processing expertise is a benefit. PhD in Applied Physics, Physics, Electrical Engineering, or equivalent, with post-degree experience a plus.
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Smart IMS provides consulting services across a broad spectrum of technology and planning needs, including but not limited to: design, engineering, architecture, program/project management, business analysis & requirements definition, quality assurance, database administration, disaster recovery & continuity planning, cybersecurity, cloud solutions and on-call support services.
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Guide Clients on required reference data and other setups and mapping as part of initial client implementations.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients.
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Provides consultation to engineering and data solution/product management by thoroughly understanding business processes and cross-functional applications or systems. Acts as a data steward with subject matter expertise related to advisory data (e.g. CRM, Financial Planning, Account Workflow, Proposal/Models, Portfolio Construction, Direct Indexing, Trading, Reporting.
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We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. Proficient coder of SQL, and an object-oriented programming language (Ruby, Python, VBA.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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There will likely be opportunities for additional work in curriculum design, audit and gap analysis, content creation for marketing collateral, as well as learning strategy, as the workload presents, and your capacity/interest aligns.
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machine learning natural language processing data engineering jobs Company: Thomson Reuters in Princeton, NJ
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