About the role
HOW TO APPLY: Send your CV along with your GitHub profile or project portfolio to hr01@p2p.ind.in. P2P Analysis & Solutions is hiring AI/ML Engineering Interns with a potential Pre-Placement Offer (P… Subscribe to Premium to view the full description and apply.
Responsibilities
- Work directly with leadership on core AI/ML architecture
- Build and contribute to AI agent workflows
- Adapt quickly to new technical requirements
- Work with emerging AI frameworks
- Collaborate in a fast-paced, in-office environment
- Build AI/ML solutions from scratch
Requirements
- B.Tech/B.E. in Computer Science, AI/ML, Robotics, or a related field
- Final-year students, recent graduates and fresh pass-outs are eligible
- Strong proficiency in Python
- Good understanding of foundational AI/ML concepts
- Hands-on experience with AI Agents
- Proactive and curious mindset
- Comfortable building solutions from scratch
Benefits
- ₹25,000/month internship stipend
- Potential Pre-Placement Offer
- ₹6 LPA PPO
- Direct exposure to AI/ML architecture
- Opportunity to work on AI agent workflows
- Direct collaboration with leadership
- Opportunity to build solutions from scratch
Required Skills
Frequently Asked Questions
What is the salary for AI/ML Engineering Intern (+PPO)?
The listed salary for AI/ML Engineering Intern (+PPO) at P2P Analysis & Solutions is ₹25,000/month (₹6 LPA PPO).
Where is this AI/ML Engineering Intern (+PPO) role located?
This position is based in Chandigarh (On-site).
What experience is required for AI/ML Engineering Intern (+PPO)?
Candidates are expected to have Fresher of experience for this role.
How do I apply for AI/ML Engineering Intern (+PPO) at P2P Analysis & Solutions?
Use the Apply button on this HireDoor job page to submit your application for AI/ML Engineering Intern (+PPO) at P2P Analysis & Solutions.
What are the key benefits for AI/ML Engineering Intern (+PPO)?
Key benefits include: ₹25,000/month internship stipend; Potential Pre-Placement Offer; ₹6 LPA PPO; Direct exposure to AI/ML architecture; Opportunity to work on AI agent workflows; Direct collaboration with leadership; Opportunity to build solutions from scratch.
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