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Applicants with a relevant major (psychology, statistics, economics, computer science, biology, or neuroscience) will be given preference, and applicants with relevant long-term career goals (e.g. professor of statistics, entrepreneur in the machine learning industry, etc.
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Kāpili Services is charged with making the above hardcopy materials easily accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science.
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Machine Learning (Software) Engineer who bring expertise across the AI space, including ML platform design, cloud hosted AI services, foundational AI models, LLMs, Open AI, and cutting-edge AI research; our list of breakthrough products and technologies is growing at a rapid pace.
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Lead experiments and drive maturity in applying emerging technology disciplines including robotic process automation, machine learning, GenAI, self-serve analytics to the Enterprise Risk portfolio.
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What You’ll DoAs a Tool and Die Maker, you’ll be part of our team located in Lakewood, OH. You’ll get to: Set up and operate tools such as lathes, milling machines, shaper and grinder to machine parts and verify conformance of machine parts to specifications.
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Qualifications: Familiarity with machine learning interatomic potentials, molecular dynamics, experience with modeling complex chemical systems, fluency in chemical kinetics and thermodynamics, understanding of dimensionality reduction and classification methods.
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An overarching effort for two to three postdocs is the development and application of a hydro-meteorological prediction testbed supporting the modeling framework (Nextgen) that is being developed for the US National Water Model (NWM), along with related technical capabilities and extensions in data assimilation (particularly using snow datasets), ensemble streamflow prediction, and heterogeneous land/hydrology modeling (including machine learning based models.
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As a team, we enable Attentive's Machine Learning (ML) practice to directly impact Attentive's AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning. Increasingly, we find ourselves conducting data analyses of rising complexity involving traditional statistical methods alongside techniques related to machine learning.
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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development. We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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We are currently seeking a Cloud Engineer Machine Learning Ops for our client in the Financial Services domain. - AWS (SageMaker, Lambdas S3 Buckets)/ ETL/ Python/ Machine Learning Ops experience.
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At GEICO, you'll be at the forefront of integrating cutting-edge machine learning and advanced data engineering. 2+ years experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, etc.
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Spectrum of offerings across basic RPA to machine learning, cognitive automation, and Quantum Computing capabilities. Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required.
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RESPONSIBILITIES- Development of machine learning algorithms, especially large language models- Deployment of machine learning services- Online serving of machine learning models- Iterate and develop the system using customer-driven scenariosQualificationsQualifications- Familiar with state-of-the-art machine learning algorithms, large language models and mainstream platforms (, Tensorflow, Pytorch);- Master at least one or two programming languages in a Linux environment such as C/C.
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Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.
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