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Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions.
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Proficiency with JVM language (Java/Kotlin) and experience in PythonExperience in NLP, ML-Ops and data pipelinesExperience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learnStrong understanding of ML Algorithms, Statistical techniques, and data analysis methodologiesExperience with Data processing, feature engineering and model evaluation techniques.
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REiLI, Fujifilm's artificial intelligence initiative, combines Fujifilm's rich image -processing heritage with cutting-edge AI innovations to inspire a new tier of clinical confidence.
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Proven experience in machine learning, with a strong focus on Natural Language Processing (NLP). Experience with cloud platforms like Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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This Instructional Designer will help design, develop, and implement cutting-edge development programs that build competence and confidence in our associates. Experience with Agile Learning Development or the Successive Approximation Model (SAM.
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Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks. This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
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Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc. 7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
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Minimum of 2 years’ experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy – Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to or improve the performance/quality of existing health propensities and related data products.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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Design, implement, and support call flows to integrate with 3rd party applications such as CRM/PRM, Call recording vendors, Workforce Management, Quality Management, Natural Language Processing, Automatic Speech Recognition, and other Cloud integrations.
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The ideal candidate is someone who is passionate about taking cutting edge research and technology to solve new problems, and enjoys working with the entire lifecycle of Machine Learning software.
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machine learning natural language processing cutting edge jobs Title: data Company: University Of Wisconsin in Atlanta, GA
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