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Strong background in machine learning, deep learning, and probabilistic modeling. Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer with a focus on deploying Generative AI-based solutions in production environments.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. Very Good understanding in Data Foundation initiatives, like Data Modeling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
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Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production. Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
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Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud. This pivotal role involves crafting and driving a comprehensive strategy for advanced analytics, aligned with the organization's goals, and developing a roadmap for implementing innovative analytics and machine learning initiatives.
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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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Knowledgeable in Prescriptive Modeling like Machine Learning, Deep Learning, Recommendation, Search, or NLP. 80% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Use predictive modeling to increase and optimize customer experiences and revenue.
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As a member of the Data Science Team, you will help with the analysis and solution designs of complex analytical supply chain management problems using a variety of methods from Predictive Analytics, Forecasting, Statistical Analysis and Modeling, Data Science, Simulation, AI and Machine Learning to ensure that the analytical business tasks and processes used within our solutions have been reliably and accurately modeled and productionalized.
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Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS. Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
$196,700 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team. This role will report to the Global Data & Analytics Director to maintain full alignment with the different Center of Excellence Data teams.
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Experience designing and developing deep learning, machine learning, optimization, and statistical models. The ideal candidate will have a strong background in machine learning, artificial intelligence, and cloud technologies.
$70 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Apply familiarity and skill with additional programming languages (e.g., Python, R), statistics, machine learning tools, data structure, data modeling, cloud computing, MS Azure, and Databricks to expand and enhance surveillance data value.
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ODS is currently seeking a graduate-level intern Data Scientist to develop insights, machine learning models, and solutions aimed at continually improving airline performance and decision making.
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5+ years of hands-on experience in predictive modeling, analysis and machine learning. Client works with different industries like telecommunications, healthcare, banking, and retail to help them use new and exciting technologies like artificial intelligence, cloud computing, and the Internet of Things.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deep understanding of various AI technologies, including machine learning (ML), natural language processing, computer vision, deep learning, retrieval-augmented generation (RAG), and generative AI models, and programming languages such as Python, R, or Java.
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Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. This team embeds artificial intelligence and machine learning into our product portfolio and business to create smarter products, improve anti-fraud and security and enhance customer care.
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machine learning modeling jobs in Atlanta, WI, France
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