Vacancy expired!
- Implement data ecosystems including data management, operations and the integration of structured and unstructured data to generate insights leveraging Cognitive Services from Cloud-based platforms.
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
- Drive operational efficiency by maintaining data ecosystems, analytics expertise and providing service offerings for continuous insights and improvements.
- Experience with Spark
- Experience with MS Azure to include:
- SQL Server on Azure
- Azure Synapse Analytics/SQL DW
- CosmosDB
- Azure Resource Manager (ARM) templates
- Azure Cognitive Services
- Familiarity with Azure PaaS service offerings
- MS Azure Certifications
- Experience with other leading commercial Cloud platforms, including GCP and AWS
- Strong oral and written communication skills, including presentation skills
- Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
- An advanced degree in the area of specialization is preferred
- 3+ years of relevant technology consulting or industry experience with ability to contribute to an end-to-end Architecture and Solution overview using Microsoft Azure tools
- At least one full life cycle implementation using MS Azure toolset
- 3+ years' experience with SQL and Programming Language (Python/Java/C#)
- 1+ years' experience with Azure Cognitive Services
- 1+ years' experience with Azure Stream/Stream Analytics
- 1+ years' experience working with Social Media Data and other advertisement platforms
- 2+ years of knowledge and practical, hands-on experience in deep learning (e.g. CNN, RNN, LSTM, GAN, etc.), reinforcement learning, ML Frameworks (e.g. TensorFlow, PyTorch, etc.)
Vacancy expired!