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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
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Qualifications: Extensive experience in data engineering, data analysis, and machine learning. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Primary responsibility will be to work closely with the Data Architects and Machine Learning Team to implement data solutions for the organization using Python, Java, Kafka and other big data solutions, creating technical specification documents and test plans.
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You will partner with product managers and engineers to help build and support data needs of partner teams, reporting solutions, machine learning systems and analytics. As a Data Engineer on the Amazon Video Shopping team, you will lead the design and implementation of systems capable of processing, storing and querying large datasets.
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Cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies like React, Cypress, Npm Experience in AWS/Big Data is a big plus Exposure to cloud technologies.
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3 years of experience with ML/AI algorithms and tools, deep learning or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization, and mobile technology.
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Familiarity with data science techniques, including machine learning algorithms, data visualization, and predictive modeling. Use statistical models and machine learning techniques to uncover patterns and predict future outcomes.
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Machine Learning - Data Engineer. At least 3 years of experience in machine learning, data engineering, or software engineering. Design, build, and maintain scalable and reliable data pipelines and platforms that support the development and deployment of machine learning models and applications.
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Harnessing the power of AI, machine learning, and analytics on our data is fundamental to our business. As this data continues to grow, we need a data engineer to design and build the data architecture that underpins our AI systems and supports our evolving needs for reporting and business analytics.
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Their tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our client is seeking a skilled Data Engineer who will be an exceptional addition to their Ad Intelligence Team. The teamlbuild solutions to measure and optimize every aspect of the advertising life cycle.
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To give you a better idea, they recently completed a project that tracked cargo vessel's raw data shipping locations (330 million records) in a specific regions to help Data Science build a Supply & Demand Machine Learning model.
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We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.” 1) At least 8 years of relevant Data Engineering and insight experience.
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learning job Title: data engineer in Little Ferry, NJ
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