Job Summary
Key Responsibilities
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.
Skill Requirements
Proficient in python programming,
Exposure to AI/ML and Data engineering
Experience level: 0-5 yrs but must be strong in python.
Primary Focus:
Supporting AI-related projects through Python scripting for tasks like parsing, error handling, and I/O operations.
Key Skills:
Solid Python scripting experience with OOP concepts (not advanced frameworks, but decent understanding).
AI knowledge is a bonus but not mandatory.
Nature of Work:
Writing scripts for testing and automation, not heavy API development.
Expected to handle basic coding tasks with some object-oriented design."