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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 entry-level 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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Computational Applied Mathematics at CSUFThe department has an active group of faculty whose teaching focuses on modeling and computation at both the undergraduate and graduate levels, and whose research is transdisciplinary with areas of expertise that include aerospace engineering, agent-based modeling, cellular biology, epidemiology, small-scale systems, wave-type phenomena, and stochastic processes.
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Hands-on experience implementing and training deep learning models Experience with state-of-the-art deep-learning techniques such as transformers, diffusion models, and multi-modal modeling, in domains such as robotics, computer vision, and NLP.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. Hands-on experience with one or more deep learning frameworks like PyTorch, TensorFlow, Hugging face, LangChain, LlamaIndex, etc.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong background in mathematics, physics, computer science, computer vision, machine learning, and deep learning (Network Development, Training and Deployment) to wide range of CV applications.
$116,480 - $208,505 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. Strong background in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, transformer, reinforcement learning, etc.
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Minimum 3 to 7+ years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well.
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PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Experience with neural deep learning methods and machine learning.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Candidates may also qualify to be considered for Machine Learning Data Engineer III. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset.
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As a hands-on leader, stay up front with latest technology development in the science domain, including but not limited to machine learning, generative AI and LLMs, and drive science applications and innovations in products and programs in SDS.
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8+ years of industry experience in building large-scale Machine Learning or Deep Learning models, carrying out the entire ML development lifecycle from POC to production release. Stay up to date with the state-of-the-art technologies of AI Agent, LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU.
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Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning. Work in our group focuses on developing innovative image analysis, machine learning, AI and data science methodologies for multimodality imaging, and also on incorporating such methods into clinically relevant applications.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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Hands-on experience with one or more cyber security and defense technologies (SIEM, SOAR, next-gen firewalls, software defined perimeters, intrusion detection/prevention, endpoint security, cyber threat intel.
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machine learning applied mathematics hands on jobs Company: Birlasoft in Anoka, Minnesota
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