Job Detail

ML & Data Infrastructure Engineer

Inseriert am: 16.12.2019

Key Qualifications

Key Qualifications

  • You have hands-on experience in building distributed systems, including real-time streaming and batch data processing

  • You are proficient in multiple programming languages relevant for such systems (e.g. Python, Java, C++, Go)

  • You know what it takes to deploy and operate high availability production systems in the cloud

  • You have experience designing service-oriented architectures and using various data stores technologies (blob, NoSQL, and relational)

  • You have experience with cloud computing platform like AWS, GCP and Azure


Description

DescriptionDevelop and scale a data processing platform using the latest open-source technologies Develop an ETL plugin system that will enable researchers and other developers to submit and run data processing jobs in the cloud easily Define a consistent continuous integration/deployment model that will encourage multi-functional development teams to self-service application unit testing, deployment and operations Influence and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies Experience with full stack application development Experience with Machine Learning / Artificial Intelligence research and development projects

Education & Experience

Education & ExperienceBS OR MS CS/CE/EE (OR EQUIVALENT)

Additional Requirements

Additional Requirements

Details