Experience: 6 years

Job Description:

• Strong hands on experience in Python programming machine learning and data engineering packages like pandas, numpy, scikit, keras, tensorflow, etc.
• Experience in operations in a production system, for a system heavily involving ML workloads
• Proficiency with various techniques such as Regression, Classification, Forecasting and Cluster Analysis
• Strong understanding of modern machine learning methods and deep learning architectures and paradigms, e.g., Inception, ResNet/ResNext etc. Can train Computer Vision models on a GPU or multiple GPUs.
• Strong understanding across Cloud and infrastructure components (server, storage, network, data, and applications) to deliver end to end Cloud Infrastructure architectures and designs.
• Good understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Exposure to Kubernetes, Docker, and/or cloud deployment technologies
• Demonstrable experience in architecting large scale cloud migration projects
• Knowledge of further Cloud technologies 
• Deep understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.