Roles and Responsibilities:
- Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
- Produce project outcomes and isolate the issues that need to be resolved, in order to make programmes more effective
- Collaborate with data engineers to build data and model pipelines
- Manage the infrastructure and data pipelines needed to bring code to production
- Demonstrate end-to-end understanding of applications being create
- Use data modelling and evaluation strategy to find patterns and predict unseen instances
- Analyse large, complex datasets to extract insights and decide on the appropriate technique
- Run machine learning tests and experiments
- Extend existing ML libraries and frameworks
- Familiar with machine learning frameworks and libraries
Job Requirement:
- Understand and write Algorithms.
- Ability to write robust code in Python, Java and R
- Knowledge of Natural Language processing (NPL)
- Good knowledge of Probability and Statistics.
Note:
- Must be immediate joininer.
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