V
Azure - Data Scientist
V
Azure - Data Scientist
ValuecodersThis job is no longer accepting applications
Job Description
Key Responsibilities:
- Develop and deploy cloud-based applications using Azure services
- Work with Azure IoT Hub, Stream Analytics, Data Explorer, Synapse Analytics, and Application Gateway
- Manage and optimize Azure Storage Accounts and CI/CD workflows using Azure DevOps
- Write and optimize SQL queries and stored procedures for performance and scalability
- Automate application processes and backend workflows
- Debug, troubleshoot, and maintain cloud-based and data-driven applications
- Collaborate with data scientists to integrate machine learning models into production systems
- Build and maintain backend services using Python, Django, and Flask
- Work with front-end developers to integrate UI components with server-side logic
- Create and maintain detailed technical documentation
- Understand and apply machine learning, deep learning, NLP, and computer vision concepts
- Contribute to discussions around UI/UX and Gen AI where applicable
Requirements:
- Proficiency with Azure cloud ecosystem including IoT Hub, Stream Analytics, Data Explorer, Synapse Analytics, Application Gateway, and Storage Accounts
- Strong knowledge of Azure DevOps and CI/CD pipelines
- Solid experience in writing and optimizing SQL queries and stored procedures
- Hands-on experience in backend development using Python, Django, and Flask
- Good understanding of machine learning, deep learning, NLP, and computer vision
- Demonstrated experience in process automation and debugging distributed systems
- Strong logical thinking and problem-solving skills
- Familiarity with UI/UX principles and Generative AI is a plus
More Info
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About Company
Since our inception in 2004, ValueCoders has been delivering IT outsourcing services worldwide. We combine business domain knowledge, proven methodologies, and the technology expertise of 650+ skilled software professionals to yield high-quality solutions that add value to businesses.
