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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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E Kotlin, Scala) as well as Python development experience. Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization.
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Other technical skills needed could include Python, Docker, Kubernetes/EKS, Argo CD, GitHub Actions, IaC: Terraform, Cloud Formation, Helm, Splunk, Dynatrace. You'll get in-depth exposure to new methodologies through hands-on client projects, e-learning, live boot camps and global analytics conferences.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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A minimum of three (3) years of experience using R programming language (Python is a plus) Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology.
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Advanced proficiency in Qualtrics/Clarabridge, SPSS, SQL, R, Python, Tableau and Power BI. Qualtrics Customer XM and XM Discover Advanced Proficiency, SQL, R, Python, SPSS, PowerBI, Tableau.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Experience with a scripting language (Python, Tcl, Perl, etc) Experience with simulation and silicon validation of circuits What Sets You Apart:Solid understanding of HBM JEDEC protocol Experience with RTL (Verilog, System Verilog) Experience with static timing analysis As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth.
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Software algorithm development (MATLAB, Simulink, Python, C, etc.) We are looking for an Electro-Mechanical Engineer with broad, cross-functional skills and a hands-on focus to design, test, and analyze components and systems to dispense the highest quality beverages on the planet.
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3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, deep learning with Python in a programming intensive role.
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Conduct research as an individual contributor in AI, for example machine learning, natural language processing, reinforcement learning, reasoning, or similar areas. 0 years of related experience with a Masters' degree in Artificial Intelligence, Machine Learning, Cognitive Psychology, or any STEM related fields.
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learning python jobs Title: quantitative research in Atlanta, MO, Canada
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