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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.
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Google Cloud Professional Machine Learning Engineer certification. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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.
$119,025 - $198,375 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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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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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Experience in supervised and unsupervised machine learning methodologies such as artificial neural networks (ANN) and natural language processing (NLP) 5+ years of practical quantitative programming experience with SAS, SQL, Python, R and comfortable working with large datasets.
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Advanced Analytics Proficiency: Expertise in statistical analysis, data mining, predictive modeling, and advanced analytics tools and platforms such as SQL, SAS, R, Python, Tableau, and PowerBI.
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Turn unstructured data into useful information through natural language processing methods and other related approaches. Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud) and distributed data and computing tools: Snowflake, Data Bricks, Spark, Map/Reduce, Hadoop, Hive, MySQL, etc.
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Have experience with Snowflake cloud data warehouse and AWS S3 bucket or Azure blob storage container for integrating data from multiple source system. Experience with ETL transformations for COBOL data sources, understanding and converting JCL code to Python-based ETL processes.
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Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R.
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Knowledge of common cloud platforms - Microsoft Azure, Google Cloud, Amazon Web Services. 3 + Years of hands-on experience in scripting, orchestration, and automation languages such as PowerShell / DSC, Python, Bash/Shell scripting and Ansible to deploy Infrastructure as Code (IaC.
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We are hiring an Cloud Solutions Architect in our Alliances team to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
$150Full-timeExpandApply NowActive JobUpdated 4 days ago
machine learning natural language processing python r data google cloud jobs in Matthews, NC
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