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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
$221,625 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus. Hands-on experience with Databricks and Snowflake for data engineering and analytics.
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We focus on 4G, 5G, IoT, M2M, machine learning, automation, RF, networking, and virtualization technologies, pushing the boundaries of what's possible in telecommunications and networking to deliver seamless connectivity and high performance.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
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As a dedicated Senior Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.
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Albertsons will train you to become a pharmacy technician offering classes from our pharmacy learning and development team, pharmacy computer system and hands-on training with our teams.
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Basic knowledge in modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models.
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Strong understanding of automation technologies, such as robotic process automation (RPA), artificial intelligence (AI), digital factory and machine learning (ML). Ensure our automation strategies align with our safe factory imperatives and drive our global machine/process guarding initiatives.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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A strong background in statistical analysis, data mining, data warehousing and machine learning will be featured skills. Experience with machine learning techniques, such as regression, classification, clustering, and neural networks.
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Hands-on experience in one or more of the following areas: AI pixel processing networks for restoration, semantic segmentation, optical flow / depth estimation, computational photography applications such as HDR, Super Resolution, image denoising/dehazing, multi-frame-multi-camera computational imaging systems, motion-based computational imaging, high frame rate processing, image stitching and blending, image quality understanding and computational optics.
$165,350 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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hands machine learning jobs Company: Bdo in Plano, TX
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