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We are currently seeking an experienced Machine Learning Engineer to join our client's Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. Responsibilities include: Work directly with Business domain experts and Data Scientists to understand business objectives and develop high quality, scalable, machine learning systems.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes For Commercial Lines this team is responsible for all modeling that pertains to pricing, class plans, and profitability.
$113,360 - $170,040 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI.
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Experience working with machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and distributed big-data tools (e.g. Spark) is a plus. Design and develop systems that support the creation of large scale, big-data driven, machine learning models integrated into our product.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Massachusetts General Hospital (MGH) Department of Neurology and Harvard Medical School (HMS) is seeking a signal processing and machine learning post-doctoral fellow for a full-time position in the Gupta Lab. The fellow will be applying diverse methodologies to uncover information in multimodal data collected from individuals with common and rare neurodegenerative diseases.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. “Big Data.
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The Machine Learning Engineer is responsible for proposing, planning, executing, and analyzing research and development machine learning projects related to the field of advanced manufacturing artificial intelligence.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Ensure the continuous improvement of data quality and completeness across Walmart's omni-business.
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As a Machine Learning engineer in the Autolabeling team you will be responsible for designing and developing new Machine Learning models for our offboard automatic labeling systems, and deploying the models to label at scale the data necessary for the development of our next-generation autonomous vehicle platform and ultimately contribute to millions of Toyota production vehicles.
$140,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
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The Learning and Development Manager, manages the evaluation, development and implementation of the organization’s orientation and ongoing training and professional development programs, taking into consideration licensing standards, CARF and other accreditation standards, best practices, the agency’s mission and objectives, and employee performance and productivity.
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training learning and development machine big data jobs Company: Gliacell Technologies
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