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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
$80 - $90 an hourExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
$183,854 - $289,990 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Within Bloomberg Law (BLAW), the BLAW Machine Learning Team is the central machine learning engineering team with 10 machine learning engineers working with groundbreaking technologies to build data-driven customer-facing products using Natural language processing (NLP), Information extraction (IE) and Machine Learning (ML) techniques such as named entity disambiguation, text classification, clustering and topical modeling, text summarization and personalized recommendations.
$165,000 - $260,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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Collaborating closely with business leaders and HRBPs, you will champion a culture of talent excellence, driving the execution of top-tier talent management, learning & development, and change management processes on a global scale.
$150,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products.
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The KIPP Foundation trains and develops outstanding educators to lead KIPP public schools; provides tools, resources, and training for excellent teaching and learning; promotes innovation; and facilitates the exchange of insights and ideas across KIPP and other public schools and organizations.
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Aggregate huge amounts of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models for prediction and forecasting.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. The Underwriting systems engineering team is the main interface between the world of ML and product engineering, and as such your work will include everything from backend engineering, developing data pipelines, to creating features, and working with rules engines.
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Must have good knowledge of Data Engineering concept and related services of cloud. Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker, etc.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
$133,600 - $282,200 a yearFull-timeExpandUpdated Yesterday
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