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Job Description: The artificial intelligence platform architect will lead the development of autonomous driving software solutions with modular design and integrated platform to handle machine learning and deep learning simulation systems.
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Our Global Analytics and Data Science team is looking for a seasoned data scientist to work on our next generation CECL-compliant loss forecasting models. Job Description Summary: Our Global Analytics and Data Science team is looking for a seasoned data scientist to work on our next generation CECL-compliant loss forecasting models.
$204,600 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Design, Develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. Strong knowledge of machine learning, deep learning, NLP, statistical analysis, and data visualization tools and technologies.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers.
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Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs. Master's degree in Computer Science, Data Science, Machine Learning, or a related field with a strong focus on Artificial Intelligence.
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Establish and lead teams to develop and support generative AI initiatives, and upskill them as needed. Stay abreast of the latest advancements in AI through continuous learning and staying current with industry trends.
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Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning. Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC.
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Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques. Research and develop Deep Learning or other computational models with at least one of Computer Vision, and EMG signal processing.
$251,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Research experience in machine learning and deep learning. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.
$251,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Skills: vertex,api endpoints in python,azure,full-stack application development,docker,tensorflow,retrieval-augmented generation (rag) architectures,programming languages (python, java, javascript),react,llm suites,python,api,huggingface,aws,api development,google,node.
$90 an hourExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have extensive experience in deep learning and NLP, specifically with advanced models such as GPT-3, BERT, Transformer architectures, and Retrieval-Augmented Generation (RAG) models.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
$209,800 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Expertise in at least one deep learning library - PyTorch, Tensorflow, JAX, keras required. Ampersand Biomedicines, Inc is looking for an enthusiastic and self-driven AI/ML Engineer with deep expertise in development of AI/Machine Learning/Deep Learning to join our team in developing a cutting-edge platform to identify and design new multi-specific medicines across a spectrum of therapeutic areas.
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Job Overview : engin is seeking a B2B Marketing Manager with a focus on demand generation and a deep expertise in HubSpot. This person will report directly to the CEO and help build, lead, and maintain demand generation for SaaS based AI powered recruitment marketing and automation platform.
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lead generation deep learning jobs Company: Tiktok in MA, West Virginia
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