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Data Science & AI Internship
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- Posted 24 days ago
- Be among the first 10 applicants
Job Description
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.
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.
More Info
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About Company
Skills:
Cloud Infrastructure, Agile Methodologies, Python, Data Manipulation, Data Visualization, AI model validation, Chatbot evaluation, Data Processing, SQL querying, Process Automation, Machine learning libraries, Deployment Pipelines, model validation