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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Understanding of industrial control system network design; basic machine vision and troubleshoot with oversight from customer Engineer team and Mechatronics Engineer; IoT systems and applying to industrial controls and robotics including data visualization; multiple sensor types and methodologies.
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Deep applied experience or academic expertise with 2+ of the following areas: ML, NLP, LLMs/RAG, deep learning, or statistical learning theory. As An ML Engineer, You’ll Work With Product And Engineering Teammates To Build Core ML Offerings From The Ground Up. Examples Of Projects Include.
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Experience in Machine Learning and Deep Learning. -Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems.
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Review member accounts through analysis for fraud or prevention of fraud by utilizing software such as, Visa Risk Manager, Visa Data Manager. Diversity, equity and inclusion are critical to our success, and we value the varied backgrounds and experiences that everyone brings to our organization.
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This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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They will contribute to the development and deployment of DFT methodologies for next-generation products. Join an experienced team of silicon and distributed systems experts at this startup, pioneering groundbreaking solutions for next-generation computing workloads.
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Required Skills: Min. 10 Years of experience in IT, Data Science - AI (Artificial Intelligence) & ML (Machine Learning) modelling, DFT, QM/MM, and Cheminformatics / Chemoinformatics, RDKit, chemistry concepts (structure, reactivity, properties), Python Programming etc.
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As a Staff Software Engineer, you will help shape and scale the GPU accelerator control plane to support the next generation of GPU accelerators. Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
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COMPUTER/SOFTWARE SKILLS/KNOWLEDGE: Proficient in MS Office, AutoCAD viewer, Cadence package design, layout tool experience are a plus. SUMMARY: As a Sr. Application Engineer (RF), you will support the Director of Engineering.
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MUST HAVE design background in Arteris NoC (Network on Chip) RTL generation or based on any other NoC tool. Job Title: Senior RTL Design Engineer (eInfochips Inc.) eInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few.
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Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.
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We are a multidisciplinary algorithmic trading team with expertise in machine learning, numerical optimization, software engineering, distributed systems, electricity markets, and trading.
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Experience with next generation sequencing, molecular biology techniques and automated liquid handlers. In this role, you will be responsible for performing high complexity laboratory testing for cancer detection via next generation sequencing and general Chemistry and Immunology testing (Generalist.
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The Threat Data Platform team specializes in providing tools enabling threat researchers and incident response consultants to work more efficiently across the vast amounts of data Palo Alto Networks has at its disposal.
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