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We are seeking an experienced, hands-on Principal Engineer with a strong background in Machine Learning applied to complex spatial computing, image and video processing, and visualization applications.
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Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow.
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10 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data Scientist, Machine Learning Engineer, or AI Engineer. Experience working with Natural Language Processing is highly desirable.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Turn unstructured data into useful information through natural language processing methods and other related approaches.
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Ideal candidates will possess: Familiarity with analyzing oncology clinical dataFamiliarity with DBT workflowsFamiliarity with creating and maintaining BI dashboards; Looker experience nice to haveFamiliarity with machine learning techniques, with an understanding of the strengths and limitations of various approachesProficiency in navigating large, complex problems within a fast-paced environment.
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Expertise in using Databricks platform on AWS for data processing and analytics. Leverage Databricks platform on AWS to build and manage data processing workflows and analytics, while adhering to development lifecycle standards.
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Additional areas of focus may include Predictive Model development and validation, using Natural Language Processing (NLP) to extract information from complex data sets, and additional machine learning algorithms.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. 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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Automated Liquid Handler Knowledge : Experience and proficiency in operating and maintaining automated liquid handling systems, such as Agilent Bravo, to perform tasks like NGS (Next-Generation Sequencing) library preparation, RNA/DNA isolation, and sample processing.
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Job Summary: The Data Scientist will be an MEng, PhD, or someone with similar educational or work experience who has both conceptual/theoretical and practical/hands-on expertise in data science, artificial intelligence, machine learning (includuing deep learning), and related areas and is highly motivated to contribute to scientific and engineering advances in a fast paced, high caliber, and entrepreneurial acadmic setting.
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BS in Computer Science, Robotics, Natural Language Processing, or a related subject. Generally contribute to the natural language processing team by following our software and model development process and writing software to integrate work into the larger system.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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machine learning natural language processing engineer data jobs Company: Veradigm in Boston, MA
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