Description

Job Description:

• Development and Implement data pipelines and ML pipelines to facilitate model inference (both Real-time and batch)
• Analyze large, complex data sets to identify the most performant way to process large volume data using spark, hive and SQL
• Collaborate with cross functional teams to gather reqs and design scalable solutions
• Work on deployment of machine learning models – on prem cloud and Kubernetes
• Monitor the performance of data pipelines and make improvements as necessary
• Stay up to date with latest advances in big data processing
• Productionalize time series and registration of real-time models

Key Skills

Education

Any Graduate