About the role
Inarch Center's History & Archaeological Research Department is hiring Python & Machine Learning Interns to work on a unique AI-driven project focused on deciphering ancient scripts using modern technology. This internship combines Artificial Intelligence with archaeological research and offers hands-on experience in applied Machine Learning. 📩 **How to Apply:** Send your resume to **emailteam@inarchcenter.com** with the subject **'AI for Archaeology Internship - [Your Name]'**.
Responsibilities
- Develop Python-based machine learning solutions
- Work on AI models for ancient script decipherment
- Apply CNNs and deep learning techniques
- Collaborate with research teams on AI-driven projects
- Contribute to technology-enabled historical research
Requirements
- 2025, 2026, or 2027 batch
- BCA or B.Tech in Computer Science
- Strong knowledge of Python
- Understanding of Machine Learning and CNNs
- Interest in AI research and problem-solving
Benefits
- Monthly stipend of ₹20,000 - ₹30,000 (Negotiable)
- 100% Remote internship
- Certificate of Completion
- Opportunity to work on a unique AI + Archaeology research project
- Hands-on experience with cutting-edge Machine Learning technologies
Required Skills
Frequently Asked Questions
What is the salary for Python & Machine Learning Intern?
The listed salary for Python & Machine Learning Intern at Inarch Center is ₹20,000 - ₹30,000/month.
Where is this Python & Machine Learning Intern role located?
This position is based in Remote (Remote).
What experience is required for Python & Machine Learning Intern?
Candidates are expected to have Freshers of experience for this role.
How do I apply for Python & Machine Learning Intern at Inarch Center?
Apply directly through the application link on this HireDoor job page for Python & Machine Learning Intern at Inarch Center.
What are the key benefits for Python & Machine Learning Intern?
Key benefits include: Monthly stipend of ₹20,000 - ₹30,000 (Negotiable); 100% Remote internship; Certificate of Completion; Opportunity to work on a unique AI + Archaeology research project; Hands-on experience with cutting-edge Machine Learning technologies.