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Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam. Delivery experience with Google Cloud Platform, preferred.
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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. 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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Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) Understanding of cloud data engineering and integration concepts.
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Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
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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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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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Cardinal Health offers a wide variety of benefits and programs to support health and well-being. Cardinal Health is an Equal. Experience with Machine Learning and related technologies such as Tensorflow Python, Torch, Amazon SageMaker, Jupiter Notebooks, git.
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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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Experience working with RAG technologies such as LLM frameworks (Langchain and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, prompting techniques (Chain of Thought, ReACT, etc.
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Familiarity with API management platforms like APIGee. Designing and developing machine learning and deep learning solutions and systems. Design thinking drives our teams to imagine and invent the next horizon.
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Experience delivering products in Computer Vision, Computational Photography, multimodal-LLMs/Foundation models, Generative AI, Machine Learning (ML), or related areas. MD, PharmD by training and Healthcare informatics experience, preferred.
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Experience working with Generative AI and LLM based solutions. The Full Stack Senior Data Scientist is a key role in the transformation of business. Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
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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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Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution. Proven Machine Learning experience and involvement in data science project or product delivery.
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Experience in model training, model optimization, ML system architecture design, and scalable ML model deployment. Full Stack Senior Data Scientist. Fuse is on a mission to disrupt healthcare. Using statistical analysis to determine data modelingapproach, training machine learning tests and experiments.
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modern google cloud jobs Company: Cardinal Health
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