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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB.
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Fuse's innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products. Understanding of cloud data engineering and integration concepts.
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Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Possess deep functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy. Encourages informed risk-taking and acts as a catalyst for innovation at Fuse; generates practical, sustainable and creative options to solve problems and create business opportunities, while maximizing existing resources.
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Ensure effective designs and quality deliverables in the ML space by designing and developing machine learning and deep learning systems, running machine learning tests and experiments, implementing appropriate ML algorithms.
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Designing and developing machine learning and deep learning solutions and systems. Design thinking drives our teams to imagine and invent the next horizon. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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Cardinal Health Senior Data Scientist Concord , New Hampshire Apply Now Fuse is on a mission to disrupt healthcare. Strong understanding of machine learning principles, including supervised and unsupervised learning, deep learning, and reinforcement learning.
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Alternatively, at least 10 years of engineering experience in a related technical field (e.g., signal processing, wireless and wireline communication systems, measurement instrumentation). Technical knowledge of Global System Mobile (GSM), Code Division Multiple Access (CDMA), Wideband CDMA (WCDMA), Long Term Evolution (LTE), or other Universal Mobile Telecommunications Service (UMTS) technologies.
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MD, PharmD by training and Healthcare informatics experience preferred. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Experience with Machine Learning and related technologies such as Python, other relevant libraries and frameworks like PyTorch and tools like Jupiter Notebooks, git. Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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The Data Scientist is a key role in the transformation of business. Proven Machine Learning experience and involvement in data science projects and product delivery. Understanding of exploratory data analysis, descriptive analytics, prescriptive analytics, predictive analytics and so on.
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Assist skill uplift across the Fuse and the business. Fuse is on a mission to disrupt healthcare. Assist in implementation of ML related efforts to ensure their operational viability. Using statistical analysis determine whichdata modelingapproach to use and running / training machine learning tests and experiments.
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Consisting of a group of experienced Software Developers, Network Development and Network Engineers, the IES Cloud Network Engineering group is the high-octane engine powering the transformation and evolution of our Cloud based Network infrastructure.
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This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
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