About the role
CertifyOS is hiring AI Interns to build and support production-grade AI and machine learning solutions. Interns will work with cloud technologies, ML systems, and data pipelines while collaborating with experienced engineers on impactful healthcare technology projects.
Responsibilities
- Develop and improve AI and machine learning solutions
- Build and maintain production software and ML services
- Work with Google Cloud Platform to deploy and manage applications
- Evaluate machine learning models and improve performance
- Collaborate with engineering teams on data pipelines and AI workflows
- Follow best practices for testing, debugging, monitoring, and CI/CD
Requirements
- 2025, 2026, or 2027 batch pursuing or completed Bachelor's degree
- Strong Python programming skills
- Experience building production software or ML services
- Hands-on experience with Google Cloud Platform (GCP)
- Strong SQL and database knowledge
- Knowledge of Git, CI/CD, testing, debugging, and monitoring
- Experience evaluating machine learning systems
- Strong communication skills and ownership mindset
Benefits
- Monthly stipend of ₹50,000
- Hands-on experience building production AI systems
- Exposure to Google Cloud Platform and modern ML infrastructure
- Mentorship from experienced AI engineers
- Opportunity to work on real-world healthcare AI solutions
Required Skills
Frequently Asked Questions
What is the salary for AI Intern?
The listed salary for AI Intern at CertifyOS is ₹50,000/month.
Where is this AI Intern role located?
This position is based in Pune, IN (On-site).
What experience is required for AI Intern?
Candidates are expected to have Freshers of experience for this role.
How do I apply for AI Intern at CertifyOS?
Apply directly through the application link on this HireDoor job page for AI Intern at CertifyOS.
What are the key benefits for AI Intern?
Key benefits include: Monthly stipend of ₹50,000; Hands-on experience building production AI systems; Exposure to Google Cloud Platform and modern ML infrastructure; Mentorship from experienced AI engineers; Opportunity to work on real-world healthcare AI solutions.