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Apply supervised and unsupervised learning techniques, deep learning frameworks like TensorFlow or PyTorch, and ensemble learning methods to build and evaluate machine learning models.
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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, Machine Learning engineers for full time positions with clients.
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Knowledge or experience with machine learning algorithms, predictive modeling, and data mining. Drives the advancement of machine learning and artificial intelligence development and application within Operations and Aftermarket Quality.
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Relevant experience must be in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Few candidates may be enrolled in the three-year Data Science Development Program (DSDP), a rotational program to strengthen your basic skills.
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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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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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A research scientist should have proficiency in data analysis techniques, data mining, and machine learning. They apply statistical analysis, data mining techniques, and machine learning algorithms to identify patterns, trends, and correlations in the data.
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Strong expertise in Predictive modeling, machine learning, data mining, forecasting, and predictive analytics. Experience with data visualization and reporting tools, such as Tableau or Power BI.
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Data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Design and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions.
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We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000s of candidates get jobs at technology clients like apple, google, Paypal, western union, bank of america, visa, walmart labs etc to name a few.
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