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The Lead Cloud Engineer will help our data engineering initiatives with a particular focus on leveraging AWS, GCP, Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, and DataStage.
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Assist with design and implementation of highly available, scalable, and fault-tolerant data cloud infrastructure to support USG visualizations and other analytic solutions. The Data Solutions Architect will also work with the Senior Data Solutions Architect in building and managing cloud-based solutions and data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across USG. Responsibilities Primary Job Responsibilities - Understand USG data needs in align with strategic initiatives and map these needs to software and process requirements.
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Are you an accomplished Data Engineer who wants to further grow their Databricks expertise, develop technical content and presentations, and help build a best-in-class Databricks community of practice.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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We are seeking a Lead Software Engineer to spearhead our expansion into AI and ML technologies space, with a special focus on Generative AI. This pivotal role involves developing innovative Generative AI solutions that generate dynamic content, automate decision-making, anomaly detection, and provide predictive analytics,and transforming how businesses interact with data.
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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, Etc.
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Certifications in relevant areas such as data science, machine learning, or project management (e.g., Google Cloud). 5+ years of experience in data science, machine learning, or related fields, with a proven track record of leading successful data science projects from inception to delivery.
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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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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Join our client as a Lead Machine Learning Engineer where you'll be at the forefront of pioneering advanced analytics for actionable insights within our FinTech and RegTech Product portfolio.
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Within this group, you will be exposed to a diverse array of electrical and computer related applications (i.e., telecom networks, 5G, 6G, LTE Advanced, Wi-Fi, industrial control systems, robotics, medical devices, artificial intelligence (AI), machine learning (ML), mesh neural networks, deep learning, cloud computing, virtual machines, operating systems, computer architecture, cybersecurity, blockchain, image and video processing, etc.
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Develop integration solutions to meet technical requirements using components of the MuleSoft Anypoint Platform, including Design Center, Anypoint Studio, API Manager, Data Weave, Message Queue, and assets from the Anypoint Exchange.
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Key Words: SQL, GCP, BigQuery, Data Warehouse, Big Data, Power BI, Dashboard, DBT, Data Build Tool, Relational Database, Data Pipeline, Data Transformation, Data Structures, Metadata, Dependency.
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The Data Engineer II will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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big data machine learning solutions engineer jobs Title: machine learning engineer infrastructure in Atlanta, GA
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