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Basic Qualification : Generative NLP Lead Data Scientist, specializing in NLP and Deep Learning Hands on AI/Data Science Strategist. Required Skills : Generative NLP Lead Data Scientist, specializing in NLP and Deep Learning Hands on AI/Data Science Strategist.
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Conduct deep market analysis to understand the competitive landscape, identify market trends, and gather insights on customer needs and behaviors. — our team includes alumni from Goldman Sachs Digital Assets, DeFi protocols (e.g. Maker, Badger, Balancer), big tech (e.g. SpaceX, Microsoft, Salesforce), and traditional finance (Fortress, Bridgewater, Prospect.
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Hands-on experience with cell culture and standard molecular biology assays, including enzymatic assays, flow cytometry, and western blot. Perform enzymatic assays, ex vivo sample processing, and various molecular biology techniques including flow cytometry, western blot, and ELISA.
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Deep knowledge and hands on experience in solution design in the areas of GL, AP, Product costing, COPA, Fixed assets, Internal orders and SD and MM account determination. Design, configure and architect technical solutions in the areas of SAP FICO- GL, AP, AR, FA, CO-CCA, CO-PC, CO-PA and integration with SD and MM. Experience in SAP BPC , SAP S/4 Hana with FIORI and central finance is preferred.
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Hands-on experience with designing and implementing GMP Quality Systems. Strong knowledge of current Good Manufacturing Practices (GMP); experience with on-site regulatory inspections is required.
$90,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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A Client Success Manager is responsible for maintaining deep customer relationships to drive account revenue retention and growth. Responsibilities Make the Client Happy Driving Relationship Governance to ensure that we’re making the client(s) happy at a personal level Connect with business sponsor on weekly basis while in delivery (monthly if not in delivery)Maintain relationship powermap.
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12+ years of relevant compliance and regulatory experience in finance, fintech, or crypto exchanges (experience in AML/BSA compliance is a must) Prior Head of Compliance or Chief Compliance Officer experience in finance, fintech, or crypto exchanges (prior experience scaling a global compliance program preferred.
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Technical Competencies:Sound knowledge and hands-on experience in design and implementation of data engineering pipelines in an Azure cloud environment using: Azure Data Lake Storage Gen2 ADF V2 Databricks Synapse Analytics API DevelopmentProficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.
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Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.
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Hands-on with development skills like Java, JCR, Apache Sling, Apache Felix, OSGi, REST, JavaScript, Bootstrap, jQuery, AJAX, JSON, HTML, CSS, NodeJS. Position includes development of solutions, hands-on coding, content authoring, perform testing and administration of Adobe Experience Management, and other system integrations and collaboration with the Project Managers and other team members.
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Must have 12+ years of experience working in Data science, Machine learning and especially NLP technologies. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
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Learning & Development OpportunitiesEmployee Resource GroupsThis list could vary based on location/region *Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits.
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Collaborates and ensures alignment with key cross-functional stakeholders and partners (i.e.supply chain, quality, alliance mgmt., finance, operations, MFG leadership and commercial). Ability to plan, multitask, prioritize and be an effective and influential decision maker focused on action and implementation.
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This position demands hands-on experience with a variety of data engineering tools and technologies, including Talend, Qlik Replicate, Data Bricks, and Azure Data Factory. 5 to 7 years of hands-on experience in data engineering.
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This is a multidisciplinary role & this individual will need the ability to interface with all levels of the organization, including Quality, MS&T, QC, Process/Analytical Development, Supply Chain, Warehouse, Training, Engineering/Facilities, HS&E, and Finance.
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deep learning hands on finance jobs Company: Apple in Raritan, NJ
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