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Strong understanding of machine learning algorithms, statistical analysis,predictive modeling, and data mining. In-depthknowledge of Google Cloud Platform (GCP) services, especially BigQuery,Dataflow, and AI Platform for data processing and machine learning projects.
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Solving business problems using data analysis/mining and machine learning techniques. As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Educational background and completed coursework should encompass one or more of the following: machine learning, statistical modeling, data analysis, data visualization, artificial intelligence, coding and/or data engineering.
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Utilize data mining, statistical analysis, machine learning, and predictive modeling techniques to provide data solutions for Basketball Operations. Experience with modern techniques in machine learning (e.g., clustering, regression modeling, decision trees, time series analysis, boosting, PCA), ability to up-learn on enterprise systems and technologies.
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Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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Continuously monitor and improve the performance of machine learning models through data analysis and testing. Senior Machine Learning Engineer page is loaded.
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Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models. Experience applying machine learning (in particular deep learning) to health data, time series problems or both.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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As a Machine Learning Engineering Manager, you will be responsible for leading the success of our SDP team, to include the management of our ML Pipeline, and ML Models efficiency by using machine learning to automate data sourcing, annotating, curating, labeling and deploying large multi-modal datasets within the film media domain.
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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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Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
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SpotHero is seeking a Senior Machine Learning Engineer to join the Data Science squad. Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 6+ years of professional experience in data science/machine learning.
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At least 5-10 years’ directly related experience in computer applications, large scale computing frameworks, data analysis systems, machine learning techniques, data engineering, and pipeline design for clients for real world problems.
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machine learning data mining engineering jobs Title: engineer data Company: Ss C Eze
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