4 Job openings found

Tasks/Duties: Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations The Splunk Specialist is responsible for the design, development, and implementation of the Splunk infrastructure as well as support operations activities. The candidate should be proficient with recognizing and onboarding new data sources into Splunk, analyzing ...

Responsibilities: Production pipeline development/deployment. DevOps tools. Automation/Orchestration. Release management. Model Testing. Environment Security. Performance Testing. Data governance. Design the data pipelines and engineering infrastructure Take offline models data scientists to build and turn them into a real machine learning production system. Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our client's machine learning systems. Apply software engineering ...

Tasks/Duties: Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations. Responsible for implementing, automating, deploying, monitoring, troubleshooting and administering our application's infrastructure & designing Databases. The candidate will take responsibility for the availability, performance, infrastructure security and scalability of our applications. Ability to translate business requirements into ...

Tasks/Duties: Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations. Structure and design the data landscape of the organization. Look further on the following topics: Data availability: Connecting, moving, and generating datasets for consumption. Transformation: Feature creation, data cleansing, re-expression. Visualization: Exploratory data analysis, intuitive presentation of findings. Dashboarding: Guiding ...