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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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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 such as 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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The Itzhaki Lab, at Emory University School of Medicine, is a translational bedside-to-bench-to-bedside cardiac electrophysiology research laboratory that seeks to employ a Biomedical Engineering Postdoctoral Fellow specializing in one or more of the following areas: mathematical modeling of biological systems, microfluidics, and machine learning.
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Specific Responsibilities: Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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The successful candidate will have acquired advanced knowledge of generation and analysis of sequence data; have extensive knowledge of coding languages for data mining and the development of tools, such as R, Python, Java and SQL; experience with large multi-dimensional data sets; some knowledge and experience with genetic statistics analytical methods; and the ability to identify, propose and develop a new form of technology and methodology to bioinformatics research.
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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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2+ years of analytical experience in consulting, data analytics, data science, or machine learning and predictive analytics. Familiarity with scripting/programming for data mining and modeling.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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HVAC and Refrigeration Technician with Ice Machine Installation and Repair Experience. We are seeking a skilled HVAC and Refrigeration Technician with specialized expertise in ice machine installations and repairs.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
$88,800 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Visualization: Create dynamic dashboards and visualizations to communicate omni-channel marketing performance, trends, and insights to stakeholders across the organization. We are seeking a Senior Marketing Data Analyst to join our team and lead data-driven decision-making in our omni-channel marketing initiatives.
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We have revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. Work closely with a team of data scientists to leverage machine learning models to drive business performance.
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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 designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Data security and privacy (e.g. GDPR, CPP) ML engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.
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A good understanding of statistical modelling knowledge or any machine learning technique knowledge is a plus (regression, logistic regression, random forest, etc.) Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
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machine learning data mining jobs Title: data in Georgia, GA
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