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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Conduct all-source analytic production on sources and products of information available from public, private, and U.S. and foreign Government open source materials within established security protocols.
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Stay current with emerging trends, methodologies, and best practices in quantitative finance, econometrics, statistics, and machine learning, and apply them to enhance modeling capabilities and stay ahead of the curve.
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Experience with time series analysis techniques and advanced machine learning algorithms in a quantitative finance or risk management environment. As a valued colleague on our team, you will be responsible for leveraging expertise in economics, statistics (with a focus on time-series modeling), and advanced machine learning techniques (including reinforcement learning) to develop predictive models, optimize risk management strategies, and drive actionable insights.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you!) Additionally, we are dedicated to crafting exceptional data infrastructure and innovative solutions in the realms of data science and machine learning.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Stay up-to-date with the latest advancements and trends in machine learning and data science and apply them to evolve the measurement system. Build from scratch a suite of data science and machine learning solutions that will make up the core of Square's next generation attribution system.
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Working experience with common open source image processing libraries such as ITK, VTK, MONAI, 3D Slicer and high performance GPU clusters such as AWS, Databricks. Demonstrated experience applying machine learning and deep learning algorithms to medical imaging analytics including CT, MR, and/or PET scans; experience in additional imaging domain (H&Es, IHC) a plus.
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Strong expertise in generative AI techniques for summarization, Chatbot and data embedding using AWS, Microsoft Azure Open AI and other open source LLM models. Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. Apply classical and machine learning methods to derive insights from integrating and analyzing clinical response, tumor transcriptomic/genetic data, and radiographic image features.
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Strong programming skills in Python, Matlab and deep learning libraries such as Pytorch and Tensorflow. Proven track record in developing deep learning models and working with large-scale image datasets.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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machine learning open source jobs Company: Deloitte
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