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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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Five or more years of industry experience in data science with a focus on data analytics, machine learning, and deep learning. Data Governance: Implement and uphold robust data governance policies and procedures to ensure the secure and ethical use of internal company data and imagery for machine learning initiatives while adhering to privacy regulations and industry best practices.
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This role will also have the opportunity for the development of data visualization, statistical / machine learning algorithms, and analytic pipeline / package / applications in R/Shiny.
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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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Expertise in Python, R, SQL, statistics, data mining. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Perform statistical analysis and data mining to create predictive systems. 12+ years of experience working in the field of Data Engineering and Data Science. Deep understanding of ML and deep learning techniques.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Develop efficient algorithms and data processing pipelines to preprocess, clean, and augment the collected data to support various machine learning tasks and ADAS system requirements.
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
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Modern, object-oriented or functional programming experience, (Java, Python, SQL)Data Science and Machine Learning Frameworks Apache Spark / MLlib, TensorFlow, Scikit-learn, etc. State Street's Bionics team has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, computer vision and cognitive computing at scale for multiple use cases across Global Delivery, Global Advisors, Global Markets, and Global Exchange business lines.
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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
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We are currently seeking an experienced Machine Learning Engineer/Software Developer to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Proven experience (1-3 years) as a Machine Learning Engineer and/or Data Scientist with a focus on model development and deployment. Collaborate with data scientists and data engineers to explore and prepare data for machine learning applications, ensuring data quality and reliability.
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Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. Your work will be supported by massive data from our autonomous fleet to deliver the best autonomous driving solution.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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machine learning data mining jobs Title: data engineer bi
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