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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Support the assessment of production suitability of Open Source and proprietary solutions for Generative AI (GenAI) Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL.
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RADIOLOGIC TECHNOLOGIST(LITHOTRIPSY & FLOUROSCOPY)MANALAPAN, NEW JERSEY $6,500 SIGN-ON BONUS Are you a self-motivated Radiology Technologist looking for a partnership with a company that offers quality of life through competitive pay, excellent benefits, and autonomy.
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Hands-on experience with ETL tools such as AWS Glue, Informatica and integration platforms such as Mulesoft or webMethods are good to have. Provide hands-on L2/L3 support for Veeva Vault PromoMats and MedComms application.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
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Hands-on data scientist or machine learning engineer that will be expected to ideate, design, develop, model and deploy advanced solutions. Hands on experience with designing and deploying machine learning models using Scikit-Learn, Tensorflow, Pytorch, etc is preferred.
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Join our team now at Siemens Healthineers as a Sr. Deep Learning Scientist – Medical Image Analysis Location: Dallas, TX As a Sr. Deep Learning Scientist, you will be part of the Digital Technology and Innovation Center, the central hub for R&D in artificial intelligence and digital innovation of Siemens Healthineers.
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With a focus on teamwork, communication, and adaptability, the Sales Coordinator contributes to creating a positive working environment and driving success within the territory. The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
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Submit expense reports on a weekly basis to your Director of Sales Marketing. Forecast your group production on a weekly basis and provide to your Director of Sales. Assist the Director of Sales on special projects as assigned.
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Prepare a beautiful, orderly environment that fosters trust, exploration, deep learning, and independence. Familiarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more.
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Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc) is a plus. Have implemented machine learning projects from initiation through completion with particular focus on automated deployment and ensuring optimized performance.
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Applicants should have training and a significant track record in one or more of the following areas: -AI, deep learning methods-atmospheric, climate, and/or weather modeling-computer science, statistics, and/or machine learning with applications relevant to genomics-population genetics / genomics.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3, API Gateway, and SageMaker. As part of the AI Health Outcomes Challenge held by Centers for Medicare and Medicaid Services, members of this team developed a cloud data pipeline and machine learning architecture to make predictions with a large multiyear sample of Medicare beneficiaries with detailed claims data about millions of people.
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We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
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deep learning hands on sales jobs Company: Apple in Princeton, NJ
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