Job Summary:
Data Scientist to drive the technical direction of our Post-Call Analytics platform built on Azure. Lead a team of engineers, design scalable architectures, and ensure seamless integration of AI/ML models for speech analytics and compliance verification.
Key Responsibilities:
- Lead the end-to-end technical design and implementation of the analytics platform.
- Architect scalable data pipelines using Microsoft Fabric.
- Optimize real-time and batch data processing for post-call analysis.
- Collaborate with Data Scientists and AI teams to integrate speech-to-text, sentiment analysis, and compliance checks.
- Ensure data security and governance following industry best practices.
- Troubleshoot performance bottlenecks and optimize cloud costs.
Required Skills & Experience:
- 4+ years in software development,
- Strong experience with Azure Data Services (Azure Data Factory, Synapse, Functions, Event Hub, ADLS, Azure AI Services).
- Hands-on with Microsoft Fabric for analytics.
- Knowledge of AI/ML workflows for voice analytics (Azure AI Speech, OpenAI APIs, NLP).
- Expertise in Python, SQL,.
- Experience with CI/CD