Testline is actively hiring for the role of MLOps and AI Infra Intern for its Bangalore office with a hybrid work setup. This internship offers an exciting opportunity for candidates passionate about Artificial Intelligence, Machine Learning infrastructure, LLMOps, Prompt Engineering, and AI system optimization.
The internship is designed for candidates who want hands-on exposure to real-world AI infrastructure systems and modern machine learning operations practices. Interns will work closely with engineering teams to improve AI workflows, optimize model evaluation processes, and contribute to scalable AI infrastructure projects.
With a stipend ranging between ₹15,000 and ₹30,000 per month, this internship can be a strong learning opportunity for students and fresh graduates interested in emerging AI technologies and infrastructure engineering.
About the Company
Testline is an education-focused startup working on transforming learning experiences through technology-driven solutions. The company focuses on solving real student challenges using innovative systems and AI-powered approaches.
Testline aims to create impactful educational solutions while building scalable systems capable of supporting millions of learners. The company culture emphasizes innovation, ownership, experimentation, and long-term impact.
Internship Overview
The MLOps and AI Infra Internship focuses on supporting AI infrastructure development, machine learning operations, prompt engineering workflows, and LLM evaluation systems.
Interns will gain practical experience in:
- AI infrastructure optimization
- Machine learning operations (MLOps)
- Large Language Model (LLM) evaluation
- Prompt engineering
- AI deployment workflows
- Infrastructure monitoring and troubleshooting
This role is suitable for candidates who enjoy working on AI systems, automation workflows, and machine learning infrastructure challenges.
Internship Details
| Category | Details |
|---|---|
| Company | Testline |
| Role | MLOps and AI Infra Intern |
| Location | Bangalore |
| Work Mode | Hybrid |
| Internship Duration | 6 Months |
| Start Date | Immediately |
| Stipend | ₹15,000 – ₹30,000/month |
| Apply By | 5 June 2026 |
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Key Responsibilities
Selected interns will work on several AI infrastructure and MLOps-related tasks, including:
- Collaborating with engineering teams to build and optimize AI infrastructure
- Assisting in machine learning model evaluation and optimization
- Working on Prompt Engineering workflows for LLM-based systems
- Supporting LLMOps implementation and infrastructure management
- Maintaining documentation and tracking infrastructure updates
- Implementing MLOps practices for efficient deployment workflows
- Troubleshooting AI infrastructure issues
- Assisting in testing and validation of AI systems
- Improving performance, scalability, and reliability of deployed AI solutions
Interns may also gain exposure to modern AI deployment workflows and production-level machine learning systems.
Skills Required
Candidates applying for this internship should have knowledge or interest in:
- Prompt Engineering
- LLM Evaluation
- LLMOps
- AI Infrastructure
- Quality Assurance / Quality Control (QA/QC)
- Subject Matter Expertise (General Knowledge domain)
- Machine Learning concepts
- AI workflow optimization
Candidates with strong analytical thinking and curiosity toward AI systems may perform well in this role.
Preferred Candidate Profile
This internship is ideal for candidates who:
- Are passionate about AI and Machine Learning
- Want hands-on experience with LLM-based systems
- Enjoy experimenting with prompts and model evaluation
- Are eager to learn infrastructure and deployment workflows
- Can work collaboratively in fast-paced startup environments
- Have strong curiosity and problem-solving abilities
Stipend/Salary
Testline has officially mentioned the stipend range for this internship.
Monthly Stipend
- ₹15,000 to ₹30,000 per month
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Perks and Benefits
Interns selected for this opportunity may receive:
- Letter of Recommendation
- Flexible work hours
- Real-world AI project exposure
- Hands-on MLOps experience
- Opportunity to work on production-level AI systems
- Learning exposure in LLMOps and Prompt Engineering
Who Should Apply?
This internship is best suited for:
- AI/ML enthusiasts
- Computer Science students
- Data Science students
- Candidates interested in LLM systems
- Machine Learning beginners looking for practical exposure
- Candidates exploring AI infrastructure careers
Application Tips
Before applying, candidates should:
- Build basic understanding of LLMs and Prompt Engineering
- Learn Python fundamentals
- Explore AI deployment concepts
- Understand model evaluation basics
- Work on small AI/ML projects
- Create a clean and project-focused resume
Having GitHub projects, AI experiments, or certifications can strengthen your application.
Final Thoughts
The MLOps and AI Infra Internship at Testline is an excellent opportunity for candidates who want to gain hands-on experience in modern AI infrastructure systems, Prompt Engineering, and LLMOps.
With growing demand for professionals skilled in AI deployment and infrastructure optimization, this internship can provide valuable industry exposure and practical learning experience for aspiring AI engineers and machine learning professionals.
Candidates passionate about AI systems, experimentation, and emerging technologies should strongly consider applying before the deadline.
Disclaimer: This internship information is collected from official/public sources. We do not charge any fees for jobs or internships and do not guarantee recruitment or selection. Applicants are advised to verify details from the official company website or recruiter before applying.
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