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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Hands on experience in IBM-Z/OS COBOL, CICS, DB2, VSAM, JCL, Mainframe application development suits and IBM WebSphere MQ messaging solution. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Experience developing and applying advanced algorithms, models, and frameworks that leverage the latest advances in technologies including but not limited to machine learning, deep learning, neural networks, natural language processing, Generative AI, large language models (LLM), pattern recognition, and data wrangling.
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Hands-on experience in coding Microservices in Java, building UI/UX using JavaScript frameworks (e.g. React, Angular), using Messaging e.g. Kafka, developing databases objects in: Oracle, Cloud Native DBs.
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Are you a Data Scientist with machine learning and remote sensing experience, looking to work for an exciting start-up company who offer excellent hands on training and structured progression.
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Strong understanding of machine learning concepts and techniques, with hands-on experience in deploying and utilizing machine learning models. Python, with expertise in one or more machine learning frameworks (e.g. TensorFlow, PyTorch) for client component role.
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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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Hands-on practical experience in system design, application development, testing, and operational stability. Hands on experience in Analytical and debugging skills. Formal training or certification on software engineering concepts and 3+ years applied experience.
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As part of our finance team, you'll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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Hands-on Python, Java, JavaScript, React/Angular/Web Components, Databricks a plus. Exposure to modern AI concepts such as generative AI, various models of machine learning, large language models, conversational AI (chatbot, etc.
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The ideal candidate will have 7+ years of hands-on experience in data science and machine learning, with a proven track record of delivering impactful insights and solutions in a corporate setting.
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Demonstrate hands-on shop floor experience in both metal and wood manufacturing. Learning the controller on the brake press and adjusting bend programs when needed. Minimum of one (1) year of machine or press brake operating experience.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs.
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Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs is needed to qualify for this role. Strong programming skills in Python; experience with Machine Learning libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn) and LLMs.
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Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a plus. 6 to 8 years of relevant experience, and 5 + years of experience in data science, machine learning, quality assurance and data management roles.
$113,840 - $170,760 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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