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You are not afraid to imagine next generation AMI solutions powered by artificial intelligence, automation, layered intelligence, and edge computing. Access to leading-edge technology. Visit our site to learn more about Accenture Strategy & Consulting Utilities Practice.
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Visit our site to learn more about Accenture Strategy & Consulting ( If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email.
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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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The Accenture AWS Business Group is part of Accenture Cloud First, Accenture’s industry-leading business group focused on redefining how organizations operate and create value by using cloud, data, and artificial intelligence for total enterprise reinvention.
$73,000 - $192,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency.
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If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email ( or speak with your recruiter.
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Nextira joined the Accenture AWS Business Group and our AWS North America delivery practice in June 2023. Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.
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For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement. Accenture is committed to providing veteran employment opportunities to our service men and women.
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As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.
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Accenture Cloud First spans more than 141,000 cloud professionals from across Accenture with more than 124,000 cloud certifications. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
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As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
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If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accenture is an Equal Opportunity Employer.
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As a MLOps Engineering Lead, you will design, deploy, and maintain cloud infrastructure with infrastructure-as-code (IaC) tools such as Terraform, AWS CDK. An experienced, highly motivated MLOps Engineering Lead looking to join our team in supporting our large-scale GPU-based AI training and research cluster hosted on various cloud providers such as AWS, Azure, and GCP. The ideal candidate should have expert knowledge of Linux at the kernel level and be able to configure and troubleshoot NVIDIA drivers and utilities, particularly on virtual machines running in the cloud.
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You will manage HPC (High Performance Computing) clusters, including schedulers such as Slurm, and compute nodes accelerated with NVIDIA GPUs. Youll help experienced ML engineers configure and manage their Conda environments, optimizing them for their specific AI training and research needs.
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edge job Company: Accenture
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