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Partner with ATG researchers to understand data and advanced cloud system-related opportunities in adjacent research domains such as applied AI and machine learning in Audio / Video domains.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and seize new opportunities.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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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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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Experience in understanding business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. Experience with deep learning, data science, and NVIDIA GPUs.
$327,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Qualifications 10+ years' experience architecting on prem and cloud-based enterprise data solutions Solid expertise architecting and delivering end-to-end data solutions within an enterprise (Data Warehousing, Analytics, BI, Big Data, Operational Data Store, Metadata, Master Data; on prem/cloud) Expertise in designing, building and managing Enterprise Data Warehouse and Business Intelligence (BI) platforms.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers.
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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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Experience of working with various AWS cloud services such as EC2, s3 bucket, AWS code pipeline, CloudFormation, etc. You should have experience in helping teams implement quality frameworks and also be a hands-on, self-motivated engineer who can work in a continuous integration environment.
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Develop software for the Robotic Control System and fleet manager who is responsible for optimizing work assignments, AMR fleet movements, and energy management·Apply Modern AI and machine learning methodologies to solve complex robotics problems involving the synthesis of solutions that can measurably streamline the operations of fleets and swarms of robots.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Lead Data Engineer, you will be responsible for leading complex project work as a part of a larger cross-functional team in support of Supply Chain. They have experience developing and implementing data models for analytic use and a moderate level of experience with cloud database architecture.
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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. The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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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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data machine learning engineer cloud jobs Title: machine learning engineer in Atlanta, GA
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