Job at a glance
Roles and Responsbilities: Understand data sources, create data pipeline for data extraction and using for machine learning use cases. Analyze data for anomaly, pattern and provide right information to leadership team for right action. Understand unstructured data, raw data from various sources like telecom data and provide right format in data lake using cloud services. Create data injection services for continue data export into data lake for ML use cases.
Use cloud-based services like SaaS and PaaS, create Machine learning deployments services into production. Use cloud-based tools to improve performance and scalability of ML use cases for end users. Create AI engine for sentiment analysis for improving customer services, customer pain areas and provide dashboard with KPIs to business leaders. Create data actionable reports like KPI indicators for each business units including sales, marketing for right action at right time.
Create Natural language processing AI engine for understanding topics, how and where users are more interested in getting help, services etc. using log data, social feeds. Understand and create 5G for IOT (internet of things) use cases for sensor data analysis and reporting. Technical Skills: NO SQL, AI- Artificial Intelligence based applications, Data Mining, Machine Learning, Data Lake, SaaS, PaaS Education: Bachelor’s degree or equivalent in Computer Science or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience