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Demonstrated experience with the implementation of emerging FSG processes and technologies to fuse multiple discipline. and Dissemination (PED) of remotely sensed data to include Hyper/Multi-Spectral Imagery (HSI/MSI), Thermal/Infrared Imagery.
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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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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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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.
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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. Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc.
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Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB. 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.
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Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy. 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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Integration with Web Services (SOAP and REST both), ESBs such as JBoss Fuse, Business Rules Engine such as DROOLS. Hands- On Experience in writing Appian Plugins (includes Smart Services, Function Plugins and Servlet Plugins), Connected Systems and Component UI Plugins (Preferred) Experience with Embedded SAIL. Experience with JEE Design Patterns such as JSPs, Java Servlets, EJBs, JDBC etc.
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What Data Science contributes to Cardinal Health. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. Our focus on technology, design and a product mindset will help drive that disruption and establish Cardinal Health as a leader in healthcare technology.
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Strong understanding of machine learning principles, including supervised and unsupervised learning, deep learning, and reinforcement learning. MD, PharmD by training and Healthcare informatics experience preferred.
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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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Develop ground and flight test plans, support test implementation, and evaluate test results to improve and validate aeroelastic analytical models, load and flutter predictions. We fuse research in autonomy, robotics, aviation and services to define a new category of mobility for the world’s communities.
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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. Understanding of cloud data engineering and integration concepts.
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