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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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Architect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows. Design and architect scalable, high-performance, and cost-effective cloud-based solutions using Azure services and Databricks.
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MS or PhD in a quantitative discipline (e.g., computer science, biomedical informatics, machine learning, statistics, computational biology, applied mathematics, or a related field) Machine Learning Engineer - Cardiovascular Epigenetics & Genetics.
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Sales Territory or Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer.
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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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As a machine learning program manager, you will work with product managers and technical leaders to conceive, scope, prioritize, architect, develop, and deliver strategic machine learning applications.
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This is a high school teaching position in Machine Tool Technology which is a Career and Technical Education (CTE) program. Eligible to receive an ISBE Professional Education License (PEL) in Machine Tool Technology Education with coursework in Industrial Electronics Technology, Welding and/or Industrial Mechanics.
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Minimum 3 years of professional experience in an eLearning developer, learning content developer, multimedia learning developer, educational animator or something similar; must have current portfolio.
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3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. The search team comprises the e-commerce search platform, backend services, machine learning endpoints, and our search engine, which enables grainger.com customers to findproducts that serve relevant content to online customers, internal support teams, and marketing programs.
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We build the Artificial Intelligence and Machine Learning (AI/ML) models that power one of the world's most extensive recommendation systems in the travel space. Develop a tangible technical understanding of our marketplace and its machine-learning services.
$242,500 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. Continuous Learning – stay up-to-date with emerging technologies, changes in the banking industry, and regulatory developments.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Academic and/or experience in fields related to machine learning, deep learning and/or data science. The eDiscovery Innovation Team at FTI Consulting is expanding rapidly as we make key investments in applying Generative AI and Machine Learning to some of the world’s biggest disputes, investigations, and litigations.
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machine learning jobs Title: learning architect in Chicago, IL
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