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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud.
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SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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The candidate is required to have hands-on experience and deep knowledge in machine learning. Academic and commercial groups around the world are powering a revolution in AI using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 5 years of experience focused on developing, training and deploying AI models in real-world applications to include machine learning algorithms, deep learning architectures, and the underlying mathematical principles.
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Qualifications The ideal candidate is an experienced and hands-on expert in the areas of NLP, NLU/Conversational AI and Machine Learning with extensive experience in fine-tuning pre-trained transformer based models like GTP-3 and BERT. We envision our InsightAI product being so successful that it will likely spin out to another company, and a handful of VC have already shown interest.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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Strong security skills that would include hands-on experience with Zscaler, Netskope, Palo Alto, Broadcom, McAfee, Check Point, Cisco, and/or similar. Proven hands-on experience with cybersecurity and networking solutions & technologies including SWG, CASB, ZTNA/VPN, NGFW, IAM, DLP, Data security, and writing regex expressions.
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Ideal candidates will also have experience in statistical signal processing and its application to sensor data or experience leveraging the latest techniques in deep learning for computer vision.
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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Machine Learning / Deep Learning / Convolutional and Recurrent Modeling knowledge is a big plus. Hands-on experience in large scale data pipeline optimization for accelerated model training, including hyper-parameters tuning and GSD (Graduate Student Descent.
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Hands-on experience as a Controls Engineer, Applications Engineer or Equipment Engineer working on automation and/or electromechanical systems. Hands-on experience with battery module and/or pack manufacturing.
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Expertise as evidenced by a strong record of peer-reviewed academic publications, combined with hands-on research experience in applications of machine learning, deep learning, natural language processing and algorithms is desired.
$192,500 - $362,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
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Stay informed and integrate latest statistical modelling, machine learning, deep learning, recommender system and/or artificial intelligence trends to improve and enhance modelling stack and improve business metrics and customer experience.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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