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Experience with Machine Learning and Artificial Intelligence methods such as Advanced Neural Network Architectures, Regression, Classification and Clustering. Leverage latest techniques in machine learning and generative artificial intelligence.
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The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
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This presents an opportunity to create tremendous business value as we assemble a world-class applied machine learning team. We are currently seeking motivated and innovative individuals to join our applied machine learning team.
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Design, develop, and deploy machine learning models using tools and platforms optimized for distributed machine learning. PhD in Statistics, Computer Science, Mathematics, Economics or directly related fields is a plus.
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The position requires a deep understanding of computational linguistics, image processing, and Python programming. Extensive paid time off programs (paid holidays, sick, and unlimited vacation time) Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources.
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Artificial Intelligence/Machine Learning Scientists develop and deploy AI and ML technology throughout the company. Demonstrated skills in large scale data manipulation, machine learning and pattern recognition.
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Master’s degree in Statistics, Computer Science, Economics or directly related field. Stay abreast and evaluate the latest in AI research and technologies and determine how to incorporate these into our data science best practices.
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This is an opportunity to play a crucial role in the continued evolution of our world-class solutions. The selected candidate will be part of a collaborative team dedicated to building, fine-tuning, and deploying state-of-the-art models to solve real-world problems in information management, data intelligence, content automation, audit, and analytics.
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In this role, you will develop solutions and execute complex initiatives that leverage real-world data (e.g., electronic medical records, biomedical imaging, time-series data, surveys/questionnaires, and text notes) to address challenging computational problems alongside partner scientists in epidemiology, statistical genetics, computational biology, and machine learning.
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Develop sound analytic plans based on available data sources, business partner needs, and required timelines. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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A fundamental principle of information security at Rocket Software is that all individuals in the organization have a responsibility for the security and protection of company information and IT Resources over which they have control, according to their role.
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Additional General Functions & Outcomes for Machine Learning Scientist Sr. II. Additional General Functions & Outcomes for Machine Learning Scientist Sr. I. Additional General Functions & Outcomes for Machine Learning Scientist II.
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PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field. Algorithm Development: Develop novel AI algorithms and techniques to solve complex problems in areas such as machine learning, natural language processing, computer vision, and robotics.
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Expertise in Python, Linux, and ML, familiarity with SQL. Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce. Experience in professional management of junior data scientists within projects and their continuous professional development.
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Rocket's Data Modernization Business Unit aids customers in managing, governing, and maximizing the value of their enterprise data assets. The base salary range for this role is $144,200.00 - $180,250.00 /year.
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