We are looking for experienced Cloud Engineer/Architect with high exposure to ML-services, in Azure and Google Cloud Platform for a short-time contract-based consultancy.
The consultancy should answer:
- how GCP vs Azure services compare, in more detail, as enlisted here, and to evaluate suitability for our product data-case. e.g. we don't do streaming, mobile, IoT data;
- evaluate the migration complexity, in terms of time and people, given all live pipelines have to remain unaffected.
Requirements
- at least 5 yrs. experience working as data-engineer/data-architect, orchestrating ML pipelines, deploying MLs
- at least 3 yrs. experience working with various cloud-ML services
- specifically to EMI needs, demonstrated experience and knowledge working with:
- GCP Bigquery, Dataflow, Cloud Composer, AI platform. nice to have: Cloud functions, Cloud SQL, Cloud Storage
- Azure: Azure ML, Databricks, Synapse SQL (data warehouse), Data lake (raw storage)
- certifications in GCP Cloud, a plus -
https://cloud.google.com/certification/data-engineer
https://cloud.google.com/certification/machine-learning-engineer
- certifications in Azure ML Suite, a plus -
https://docs.microsoft.com/en-us/learn/certifications/azure-solutions-architect/
https://docs.microsoft.com/en-us/learn/certifications/azure-data-scientist/