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Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning. Certifications in relevant areas such as data science, machine learning, or project management (e.g., Google Cloud.
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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.
$199,300 - $247,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Strong understanding of machine learning algorithms, statistical techniques, and data analysis. Skilled in natural language processing (NLP), MLOps, and data pipeline development, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
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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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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. + Exposure to AI, Deep Learning, Neural Networks, NLP. + Collaborate with cross-functional teams, including Sales, Marketing, Finance, and IT, to develop and implement data-driven strategies that drive sales enablement and productivity.
$100,000 - $141,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Cleans kitchen equipment such as, carts, tables, counters, ice machine, buckets, blender, mixer, meat slicer, freezer, refrigerator, stove, steamer, garbage disposal, dish machine coffee/ tea maker, steam table etc.
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Working Knowledge and application of Machine Learning and RPA. Drive Data Strategy & Data Governance offering sales pipeline through cross practice/cross channel sales activity.
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The Mechanical Designer (R&D) is predominately a machine design detailing role. 2) (3) years of related machine design or material handling equipment design (experience with belt conveyors is a plus.
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Join Tosca as our Senior SAP SuccessFactors & Data Analyst and play a pivotal role in transforming our global HR operations. This exciting role includes overseeing the implementation, configuration, and maintenance of SuccessFactors modules, while driving HR analytics and reporting to empower data-driven decision-making.
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OTE seeks a candidate with experience in the field of residence life operations, education, or social-emotional learning, with a passion for executing and monitoring comprehensive League Housing Coordinatoreducation programs designed to contribute to student learning, growth, and success.
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Harness the latest advancements in Data Science, Machine Learning and Artificial Intelligence (AI) to pioneer new approaches that significantly help our sustainability objectives and drive efficiency across our data center operations.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This team will leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for our automated document processing and customer service chat bots.
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Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects. Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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machine learning data processing jobs Company: Veradigm in Atlanta, GA
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