Highlights
Exposure to cutting-edge tech, mentorship from experienced engineers, real impact on production features.
Description
Job Summary
pEnterpret is seeking a Machine Learning intern to join our team and contribute to the development of an AI-native platform that centralizes customer feedback. The ideal candidate will work on complex problems, prototype LLM-backed features, and ship meaningful contributions into production.
Responsibilities
- Build and prototype LLM-backed features with senior engineers
- Contribute to evaluation rubrics and quality dashboards for AI systems
- Write clean, testable Python code in our production stack
- Debug failures across data, infrastructure, model, and prompt logic
- Collaborate with engineering, product, and the AI team on design reviews and PRs
Required Skills
- Python programming
- Fine-tuning of LLMs
- Data analysis and evaluation
- AWS infrastructure experience
- Machine learning project management
Required Skills Explained
- Demonstrated AI/ML project depth, including coursework, research, open-source projects, or hackathons where you've built something non-trivial with LLMs and evaluated it rigorously.
- Experience owning a system end-to-end, from design to deployment, dealing with what broke during the process.
- Solid engineering skills in Python, including writing clean, testable code and debugging at system boundaries.
- Working knowledge of modern LLMs such as prompting, fine-tuning, retrieval, agents, or evaluation, going deeper than a tutorial on one of these topics.
- A systems mindset focusing on interfaces, data contracts, failure modes, and rollout plans rather than just model tweaks.
- A track record of collaborating and learning in the open, asking sharp questions, giving and taking feedback, and pushing for quality without being asked.
Who is this for
pThis role is ideal for students or recent graduates with a strong background in AI/ML, particularly those who have hands-on experience with LLMs and are eager to contribute to real-world applications.
Why This Job is a Good Opportunity
ulliContribute to production features used by top global companies like Canva, Descript, Notion, Perplexity, etc.liGain exposure to cutting-edge technology in AI and data-driven systems.liWork alongside experienced engineers and product leaders, receiving mentorship directly from them.liSolve challenging problems at the intersection of AI, data, and infrastructure, gaining real-world experience.liBecome part of design, architecture, and product discussions, contributing to high-growth startup experiences.liEnjoy a builder culture with autonomy to experiment, innovate, and grow.liPotential for a Pre-Placement Offer (PPO) based on performance during the internship.
Interview Preparation Tips
- Prepare examples of AI/ML projects you have worked on, emphasizing end-to-end ownership and rigorous evaluation processes.
- Practice discussing your solid engineering skills in Python, including clean code practices and debugging techniques.
- Showcase your working knowledge of modern LLMs by providing specific examples or projects where you used prompting, fine-tuning, retrieval, agents, or evaluation methods.
- Mention instances where you demonstrated a systems mindset, focusing on interfaces, data contracts, failure modes, and rollout plans.
- Highlight past experiences of collaborating in open environments, showing how you have asked sharp questions, given feedback, and pushed for quality improvements.
Career Growth in This Role
pThe internship at Enterpret is designed to be a launchpad for future career opportunities. As an intern, you will work on complex problems that directly impact the systems used by top global companies. This role offers valuable experience in AI-native platform development, which can significantly enhance your skill set and make you a strong candidate for full-time positions.pWith mentorship from experienced engineers and product leaders, you will gain insights into real-world product development processes in high-growth startups. The exposure to cutting-edge technology and the chance to work on big problems will prepare you well for future roles in AI-driven industries. Additionally, the potential for a Pre-Placement Offer (PPO) based on your performance can be a significant advantage in securing a full-time position.
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Frequently Asked Questions
What is the duration of the internship?The internship lasts for full-time onsite work in Bengaluru, with potential conversion to a full-time role.
Is remote work possible?This position requires full-time onsite presence in Bengaluru.
What kind of mentorship can I expect?You'll receive mentorship from experienced engineers who have scaled AI-native systems and are deeply involved in product development.
