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This includes IIoT Platforms (Ignition/ThingWorx), Data Acquisition, Machine Learning, additive manufacturing, digitalization, augmented reality, etc. The ME-i4.0 (Manufacturing Engineer Industry 4.0) will be a key member of the Eaton Aerospace Industry 4.0 deployment team responsible to drive the implementation of the smart factories across Eaton Aerospace Group.
$105,000.03 - $154,000.05 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Recent experience with Azure data engineering or ML platforms like Azure Databricks and Azure Machine Learning. Familiarity with Azure data engineering or ML platforms like Azure Databricks and Azure Machine Learning is preferred.
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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.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Master's degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$110,700 - $170,556 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The person in this role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices. 6+ years of experience in machine learning, deep learning, and natural language processing.
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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.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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While the focus of this job will be machine learning applications, there are times where we need to use data science to solve other problems and machine learning is not the only or optimal option.
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Experience solving "full stack" machine learning problems, from data collection to model training to deployment, and experience using machine learning. As a Consulting Machine Learning Engineer, you will play a crucial role in leveraging data to drive strategic initiatives, improve patient outcomes, enhance operational efficiency and advance healthcare innovation.
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Defining and driving the AI strategy to create a roadmap detailing the short and long term implementation for CDS, including techniques from RPA (robotic process automation) ML (machine learning), NLP (natural language processing), genAI, etc.
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Machine Learning Engineer w GCP position is based at Dearborn, Michigan. In the subject line of the email please include: First and Last Name ( Machine Learning Engineer w GCP.
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As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
$135,000 - $209,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experienced with traditional and modern machine learning and statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
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Computer engineering, electronic engineering, informatic, java, machine learning, photonics, programmer, robotics, software engineer. Experience with data MySQL, Hadoop, Redshift, Statistics, Machine Learning, Java, Python, R, Linux, Informatica Power Center, Salesforce, Oracle Netsuite, Streamsets, and Tableau is required.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. You will work within a multi-disciplinary team with computational expertise in machine learning (ML), molecular simulation, optimization, and protein structure bioinformatics, and interface with our experimental team generating large datasets with novel high throughput assays aimed at informing predictive model development.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're looking for an enthusiastic and experienced Machine Learning Engineer that will help us leverage AI to build impactful tools for across Block, with a focus on engineering velocity.
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deployment machine learning jobs Title: platform engineer Company: Baird
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