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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Help as needed with grinding and processing material for the machine. Knowledge and experience operating The JuanaRoll machine. The company offers products spanning flower, edibles, oils, and tablets, and manufactures popular brands including Seed & Strain, Triple Seven, gLeaf, Classix, Plant Sugar, Press, Amber and Platinum Label CBD. For more information on Columbia Care, please visit www.
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Col-care.com. Recognized for its comprehensive benefits, ongoing training opportunities and commitment to diversity, equity inclusion both internally and with external vendors, Columbia Care has earned a spot on mg Magazine's America's Top Cannabis Industry Employers list.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
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Masters’ degree in data science, computational linguistics, data mining, machine learning, statistics, computer science, operations research, engineering, mathematics or related field required.
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This position will support all aspects of data delivery for analytics and machine learning use cases, including developing ETL's, constructing real-time systems integrations, analytical and operational data modeling, and working with front end visualization tools such as Looker.
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The Learning Designer and Technology Consultant uses a collaborative, equity-minded instructional approach rooted in best practices to design or support other Learning Designers in designing the Subject Matter Expert's (SME's) content and support the curriculum design process using Universal Design.
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The department houses a Bachelor’s degree in Geography with an optional GIS emphasis, a minor in GIS, and a certificate in GIS. We prefer candidates with expertise in remote sensing, field data collection, spatial data science, Earth data analytics, and/or machine learning.
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PhD in genetics, bioinformatics, computational sciences, data science, machine learning, statistics, mathematics, computer science, or related fields. Experience performing large-scale data analysis, such as data-wrangling, statistics, or machine learning.
$56,484 - $68,604 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Familiarity with implementing data and/or machine learning algorithms in production systems (e.g. AWS Sagemaker, GCP Datalab or custom implementation) The purpose of the Data Warehouse is to facilitate Machine Learning model development, provide data sources/APIs necessary to use the data in our SaaS applications, and deliver an efficient data platform for research and business analytics.
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Preferred skills of a Data Scientist, including proficiency in data analysis tools (e.g., Python, R) and machine learning techniques. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
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Artificial Intelligence, Machine Learning, Data Processing, Hardware Development, Deep Learning. High Performance Computing, Artificial Intelligence, Machine Learning, GPT3, Foundation Models, Deep Learning, Computer Vision, True Resolution, 3D Image Analysis, Recommendation, AI Platform, Large Language Models, AI for Science, and Generative AI.
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The Data Science COE at S&P Global is looking for a hands-on Director of Data Science – NLP, LLM and GenAI to lead Data Science and Machine Learning Modeling strategy and solutions. In this role, you will play a pivotal role in leading and implementing our NLP, LLM and GenAI machine learning strategy and modeling, ensuring the seamless modeling and algorithm development of our machine learning models and data science solutions.
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This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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machine learning jobs Title: intern Company: Autodesk in Aurora, CO
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