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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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Experience with cloud computing environments (GCP) and Data/ML platforms (Databricks, Spark). Key Responsibilities:Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years' experience in data science or a similar role.
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Familiarity with cloud computing platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Reporting directly to the Director of Data Science, you will collaborate closely with cross-functional teams.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of the data science art (feature engineering, modeling, AI capabilities, optimizers) and related technologies (cloud computing, open-source analytical capabilities.
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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. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Deep understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.
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Hands-on knowledge and expertise in building and/or securing technology, including operating systems, databases, virtualization, cloud computing environments, and networks. At least 1 year of experience in cloud computing.
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Experience with hybrid cloud computing architecture (Microsoft Azure, AWS, Google Cloud Platform) for IaaS, PaaS and PaaS models. The Enterprise Architect will evaluate current hybrid cloud architectural state, propose necessary and impactful modifications, identify and roadmap desired future state.
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PCSD is PNNL’s primary steward for research supported by the Department of Energy’s Offices of Basic Energy Sciences, Advanced Scientific Computing Research, and Nuclear Physics, all within the Department of Energy's Office of Science.
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8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer.
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In computer science, we seek candidates who can contribute to Software Engineering, Cloud Computing, Mathematical and Statistical Foundations of Computing, Quantum Computing, High-Performance Computing, Theory and Algorithms, Artificial Intelligence, and Databases.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of data warehousing experience (Redshift or Snowflake.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Proven experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks.
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data science cloud computing jobs Company: Servicenow in IN, Pennsylvania
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