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Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks. TheMachine Learning Engineerrole 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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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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SummaryAs a Lead Machine Learning Engineer, you will play a pivotal role in leading and driving the implementation of advanced analytics that delivers communications intelligence that will drive actionable insights and solutions as part of our FinTech and RegTech Product portfolio.
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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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The In-Vitro Diagnostic portfolio provides the golden standard of molecular based immunoassay technology for liver surveillance, cutting edge clinical diagnostic chemicals for leading laboratories across the country and diagnostic chemicals for OEM white labeling products.
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Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions. Experience with designing and executing machine learning models and applications.
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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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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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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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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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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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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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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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Qualifications Minimum Qualifications – Education and Experience Bachelor's degree in natural, physical, or forensic science from an accredited college or university with the successful completion of at least 40 semester hours (or 60 quarter hours) of coursework in natural sciences (Biology, Chemistry, Physics, etc.
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machine learning natural language cutting edge jobs Title: data Company: University Of Wisconsin in Atlanta, GA
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