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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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Minimum 8 years’ experience, preferably in a Learning Innovation, Learning Technology and/or Digital Transformation role. You will have the opportunity to partner with senior L&D teams to help define our three-year plan, roadmap and ecosystem, as well as introduce best-in-class and cutting-edge learning methods and technologies to BCG. YOU'RE GOOD AT Developing a digital learning strategy and shaping the Digital Transformation of BCG’s L&D by bringing AI technologies and approaches, breaking down problems and solutioning using innovative and creative methods and communicating the solutions to stakeholders.
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Title- Lead/Sr Machine Learning Engineer - AWS (with LLM Focus) 3+ years of experience in MLOps or a related field, with hands-on experience in deploying and managing LLMs. Proficiency in Python and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), REST API frameworks (e.g., Flask, FastAPI), and LLM libraries (e.g., Hugging Face Transformers.
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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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They will report to the Senior Learning & Development Manager and ensure that Altium is developing the skills and capabilities of our employees to support a learning culture and high-performance organization.
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Familiarity with the deployment of scalable machine learning models in a production environment. 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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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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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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Collaborate with department leaders to embed a professional culture of fearless innovation, learning and experimentation within our sportsbook product & pricing teams (300 people) and our technology partners.
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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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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Access to a robust learning management system, full of e-learning modules and training programs to help boost your professional and personal development. We have worked to create a welcoming and inclusive environment where Team Members can collaborate freely to help spark innovation, drive creativity, advance their skillset, and move their career forward.
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OTE seeks a candidate with experience in the field of residence life operations, education, social-emotional learning, with a passion for executing and monitoring comprehensive residential education programs designed to contribute to student learning, growth, and success intentionally.
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Contact Information Requests for information may be directed to Rex Welch, HR Director at rex.welch@osp.gatech.edu USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office.
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The Assistant Residence Hall Director plays an integral role in shaping the experience of residential students at Georgia State University, and assists the Residence Hall Director in developing a premier residential experience that supports the academic mission of Georgia State, and the co-curricular learning goals and student engagement activities of the Division of Student Success.
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a learning jobs Company: Adp Inc in Atlanta, Fernley, Nevada
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