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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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Analysis skills, including electrical device characterization, yield analysis, data mining, DOE, and SPC. JMP or Spotfire experience highly preferred. to ET while also understanding ET data effect on Parametric Yield.
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Apple's Global Business Intelligence (GBI) team is seeking an expert Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Masters Degree in IO or Cognitive Psychology, Learning Sciences, or Human Resources.
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The Senior Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning. Knowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.
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Build econometric models to help explain and predict housing market conditions, including time-series, causality and machine learning methods. Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc.
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Experience with data mining and ability to assess, interpret and translate from multiple data sources into actionable customer/shopper insights and story telling. They will also support the development of Georgia-Pacific brands through proactive mining of national and retailer specific data (Circana, Kantar, Shopper Research, CIQ, ABVP), with the purpose of turning it into actionable recommendations and high-quality business plans that grow the paper categories and create long term value for the retailer and Georgia-Pacific.
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We look for Data Scientists who are passionate about building and deploying machine learning models, have experience with the full stack end-to-end AI lifecycle, exposure to Generative AI and Large Language Models, and are great communicators.
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You will collaborate closely with partners in editorial, product, sales, and implementation to inform the development of engaging digital learning experiences, considering the potential of generative AI. You will champion evidence-based teaching methods, envision equitable digital solutions, and continuously iterate and improve our products based on insights from data and user feedback.
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We are seeking an experienced and dynamic Staff Engineer to help foster innovation in Machine Learning and AI at H-E-B. The ideal candidate will have 5-7 years of hands-on experience as an individual contributor, possessing a strong background in Data Science or AI teams with exposure to MLOps practices.
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machine learning data mining jobs Title: senior software engineer in Austin, TX
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