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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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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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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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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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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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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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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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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Key word search: Python, Master's degree, predictive maintenance, preventative maintenance, relocation package, data science.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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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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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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Demonstrated interest in AI technologies and willingness to learn how AI can enhance HRIS platforms like Workday, including basic understanding of machine learning concepts, natural language processing, and predictive analytics.
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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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Can plan and organize work in close collaboration with a team of engineers, product designers, data scientists. 4+ years experience as a Product Manager. Analyze data & understand user behavior: Inform and drive key decisions with data-informed insights and UX research.
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Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements. Establish data quality standards aligning to ServiceNow CMDB health metrics and CSDM.
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