Data Science & AI Internship

Beschreibung:

Job Scope

* Execute AI Use Cases: Assist the team in developing and deploying artificial intelligence solutions based on business requirements.

* Support R&D Initiatives: Contribute to research and development efforts for advanced features within larger AI systems.

* Optimize Data & Systems: Assist with data processing, chatbot evaluation, AI model validation, and Robotic Process Automation (RPA) pipelines.

* Manage Project Workloads: Support multiple concurrent tasks and workflows to meet departmental goals.

Strategic Transformation Projects

* Process Automation: Build robust RPA solutions to streamline agency operations.

* Data Visualization: Design and deploy comprehensive monitoring dashboards.

* Model Validation: Construct high-quality labeled datasets for rigorous AI model evaluation.

* Deployment Pipelines: Contribute to the end-to-end development and production deployment of AI applications.

Learning & Development Plan

To ensure a structured and impactful learning experience, interns will participate in a structured development framework.

Learn & Gain Exposure to :

* Advanced Programming: Master enterprise-grade Python coding standards, code optimization, and machine learning libraries.

* Cloud Architecture: Gain hands-on exposure to cloud infrastructure, deployment pipelines, and scalable AI environments.

* Data Engineering & Querying: Develop proficiency in relational databases through structured SQL querying and advanced data manipulation.

* Agile Project Delivery: Learn to navigate real-world AI use cases from initial scoping to final deployment using Agile methodologies.

Compensation & Career Growth

* Remuneration: Competitive monthly internship allowance.

* Full-Time Conversion: High-performing interns demonstrating strong technical aptitude and cultural fit will be fast-tracked for full-time graduate roles, subject to business headcount requirements. This program serves as our primary talent pipeline for future leadership in data science and automation.

Career Growth : Interns who demonstrate strong performance and potential throughout the internship may be considered for full-time opportunities upon graduation, subject to business needs and available headcount. This enables the team to build a pipeline of talented individuals who can contribute to ongoing and future AI, data science, and automation initiatives