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Transformative AI Solutions Intern
2 weeks ago
We are seeking a talented and ambitious individual to join our team as an AI & Data Science intern. This is an exceptional opportunity for students and recent graduates in Computer Science, Data Science, AI/ML, or related fields to gain hands-on experience in developing and implementing real-world AI solutions.
The selected candidate will assist in designing, building, and testing AI-driven applications & autonomous agents. Responsibilities include:
- Supporting data science tasks including data cleaning, analysis, and visualization.
- Writing and optimizing SQL queries to extract and manipulate data.
- Contributing to web design for internal tools, dashboards, and marketing pages.
- Creating and delivering engaging presentations for client demos and internal projects.
- Collaborating with the founder on brainstorming and implementing creative AI use cases.
- Researching emerging AI tools, frameworks, and trends for practical applications.
- Must be at least in their 3rd year of college (or pursuing Master's/Ph.D.) in Computer Science, Data Science, AI/ML, or related fields.
- Strong fundamentals in Python, SQL, and data structures.
- Exposure to machine learning frameworks (TensorFlow, PyTorch, scikit-learn) is a plus.
- Familiarity with web technologies (HTML, CSS, JavaScript, React, or similar) preferred.
- Excellent problem-solving and analytical skills.
- Strong communication and presentation abilities.
- Curiosity to learn and adapt quickly to new AI/tech tools.
- Ability to dedicate 20–25 hours per week during the internship period.
- Competitive stipend based on skills and performance.
- Work directly with the Founder and gain hands-on startup experience.
- Exposure to real-world healthcare AI projects.
- Flexible remote working environment.
- Internship completion certificate and Letter of Recommendation (LOR) for top performers.
- Opportunity for Pre-Placement Offer (PPO) based on performance.
- Access to exclusive learning resources, mentorship, and AI tools.