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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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TheMachine Learning Engineerrole requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Application spaces of algorithm development include graph theory optimization and quantum machine learning. Typical summer projects may involve one or more of the following: numerical simulations; programming for data acquisition and data analysis applications; design and assembly of laboratory hardware, including mechanical, electronic, and cryogenic components; and participation in quantum measurements.
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Educational background in African American History, Social Sciences and/or Political Science, Library Science, or Archival Management. Are you an Archivist with a passion for and knowledge of history related to the modern Civil Rights Movement and Dr. Martin Luther King Jr. and Mrs. Coretta Scott King.
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Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights both internally & externally. Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
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Minimum of 2 years’ experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy – Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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MA/MS degree in Computer Science, Computer Engineering, Data or Business Analytics, Data Management, or related field. Author, submit, refine, and execute the Data Management Plan for a large multi-site, multi-organizational CDC sexual health program.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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IDR is seeking a fully remote Data Architect to join one of our top Fortune 100 clients. Utilize Palantir Foundry to develop and implement data solutions, ensuring robust data governance and security.
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Work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability. They will work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability.
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data science machine learning jobs Title: postdoctoral in Atlanta, KY, United Kingdom
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