- Acxiom (Sacramento, CA)
- …the design and development of scalable MLOps platform to support Acxiom's modeled data product builds. This role demands a deep understanding of cutting-edge AI/ML ... customer engagement strategies. You will collaborate closely with Senior architects, Data Scientists, ML Practitioners and DevOps engineers, across Acxiom to… more
- Amazon (Irvine, CA)
- …Java; (3) experience with database architecture, performance tuning, and either Big Data or Hadoop .#0000 Preferred Qualifications Please see job description and ... in the job offered or related occupations of Database Administrator, Support Engineer , Systems Engineer or another related occupation. Employer will accept… more
- McAfee, Inc. (San Jose, CA)
- …Bash, or PowerShell. + Experience in working with SQL, no-SQL and big data frameworks, MS-SQL, Casandra, MongoDB, Apache spark, Hadoop etc., middleware like ... improve availability, stability, and resiliency of cloud infrastructure. + Collaborate with data science teams to integrate ML pipelines into DevOps workflows for… more
- Amazon (San Francisco, CA)
- …Docker, and Lambda - - Hands on experience designing and implementing ETL data pipelines (Kafka, Airflow, Spark, Hadoop , Glue), MLOps pipelines (Sagemaker, ... - AWS Professional level certifications (eg, Solutions Architect Professional, DevOps Engineer Professional) preferred - - Experience with automation and scripting… more
- Amazon (Sunnyvale, CA)
- …Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like Echo, Fire Tablets, Fire TV, and other consumer ... deployment * Work closely with compiler engineers, hardware architects, data collection, and product teams A day in the...- Experience with large scale distributed systems such as Hadoop , Spark etc. Amazon is an equal opportunity employer… more
- NVIDIA (Santa Clara, CA)
- …gaps in these tools. You will also understand overall movement of data in the entire platform, identifying bottlenecks, defining solutions, developing key pieces, ... Good background of Cloud technologies like: OpenStack, Docker, Kubernetes, Chef/Puppet, Hadoop /Ceph/SwiftStack, LXC, Git, Perforce, JFrog, Kafka. + Ability to work… more
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