Role & responsibilities
Machine Learning (ML)
ML models power predictive analytics, enabling applications such as demand forecasting, fraud detection, and anomaly detection.
Deep Learning (DL)
DL - Knowledge on advanced neural networks to drive breakthroughs in speech recognition, recommendation engines, and fraud detection.
AI Use Cases if any of below:
AI Bots for Efficiency
Chatbots for Supplier & Customer Support
Automated Report Generation
Predictive Maintenance
Process Optimization
Hyperscaler:
Real-time facial recognition (e.g., Face ID, surveillance)
Autonomous driving (object detection, segmentation)
Retail analytics (shelf monitoring, customer behavior)
Industrial inspection (defect detection at scale)
Healthcare imaging (tumor detection, segmentation)
Hyperscaler Advanced if any:
Elastic Scaling
Pre-trained Models & APIs
Global Reach & Latency Optimization
Security & Compliance(ex: Built-in support for data privacy, encryption, and regulatory compliance (SOC2, HIPAA))
Developer Productivity(ex:Tools like SageMaker, Vertex AI, and Azure ML Studio simplify model development, deployment, and monitoring)

Keyskills: Data Science GCP Artificial Intelligence Machine Learning Deep Learning hyperscaler
\n\nShubh placements Plot No, First Floor, 26, Jhalawar Road, above Khadi Gramudhyog, Kota, Rajasthan 324007