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Use existing machine learning algorithms and developing custom ones tailored specifically to Lincoln Electric interested areas such as robotic welding, predictive maintenance, interactive learning, etc.
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Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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What you’ll be responsible for:As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. At least 8 years of experience in DevOps Engineering (Internship experience does not apply.
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We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization. Key Responsibilities:- Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow.
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Minimum 2 years CAD Tech experience, previous Civil Engineering internship experience with a Civil Engineering design firm, and/or AutoCAD certification required. Engineer -in-Training (EIT)/ Fundamentals of Engineering (FE) registration preferred.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid ML background and familiar with standard NLU, NLG, and LLM techniquesPREFERRED QUALIFICATIONS- PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing- 4+ years experience in building conversational AI and/or natural language processing systems.
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engineering internship machine learning jobs Title: senior full stack software engineer Company: Capital One in Anoka, Minnesota
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