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Experience with statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods. Develop solutions focused on data science and engineering using machine learning, deep learning algorithms, statistical concepts, data modeling, software development and visualizations.
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Strong background in machine learning, statistical modeling, and data mining. Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
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Proficiency in data analytics and machine learning techniques, with hands-on experience in developing and implementing predictive maintenance and optimization solutions including relevant certifications in AI or related fields (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI/ML certifications) are desirable.
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Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data, and Machine Learning. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.
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R, SAS, Python), has proficiency in statistical theory and underlying mathematical distributions, and expertise in querying relational databases with SQL.They have experience with of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, and can demonstrate real-world application of these techniques.
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Consulting and collaborating with statistical, data science, artificial intelligence (e.g., machine learning), and public health professionals in the collection, linkage, processing, coding, classification, mining and analysis of public health surveillance, research, and administrative health data.
Full-timeExpandApply NowActive JobUpdated 6 days ago - 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.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
$345,200 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.
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Significant experience applying one or more of the following research methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principal components, decision trees), Bayesian inference or other advanced machine learning techniques.
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Knowledge of fundamentals of machine learning, artificial intelligence (AI), data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with machine learning techniques (e.g. Scikit-learn, Tensorflow). Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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1+ years of experience in machine learning techniques such as classification, regression, decision trees, neural nets, large language models, recommender systems, natural language processing, clustering, anomaly detection, sequential pattern discovery, text mining, and familiar with the latest trends and applications of generative AI.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Qualified candidates need to be passionate about the Machine Learning and Artificial Intelligence space, will excel in problem-solving and combine an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects.
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machine learning mining jobs in Atlanta, GA
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