AI Product Intern

Baldor Technologies; Mumbai; On-site; INR 237,000 - 321,000; Full time

Job summary

Baldor Technologies invites motivated final-year engineering students for a 6-month internship in Mumbai’s Andheri East. The role offers full-time conversion based on performance, with a stipend of ₹25,000 per month and work from office, Monday to Friday.

You will tackle real-world product problems, define features, and experiment with applied ML/LLM techniques, including RAG and embeddings, while engaging with leadership and customers to turn feedback into insights.

Qualifications

• Hands-on ML internship experience with core ML tasks such as classification or NER.
• Understanding ML fundamentals: model evaluation, precision/recall, data preprocessing.
• Experience with LLMs beyond prompting, including RAG pipelines and embeddings.
• Strong problem-solving and analytical abilities.
• Business acumen to relate features to end-user needs.

Responsibilities

• Tackle real-world product problems and drive feature definitions with ownership.
• Experiment with ML/LLM techniques to enhance core modules.
• Participate in live customer demos and translate feedback into insights.
• Build and test AI-driven workflows, evaluating accuracy, speed and cost.
• Stay sharp on evolving AI/ML trends and DPDP frameworks.

Skills

Core ML tasks

LLM / RAG

Embeddings

Model evaluation

Education

B.Tech / BE in Computer Science or related

Tools

Claude / GPT-like models

Job description

Role Details:

Designation: Intern( Full time conversion basis performance)

Duration: 6 months

Location:Andheri East,Mumbai

Type: Work from office(Mon-Fri)

Stipend: 25k per month

Btech batch of 2025/2026 only preferred.

What your day would look like

• Diving into real-world product problems, breaking down user needs, and driving feature definitions with a strong sense of ownership.
• Exploring how applied ML and LLM techniques (RAG, embeddings, model evaluation, prompt and retrieval strategies) can enhance Privy's core modules, with plenty of hands-on experimentation.
• Participating in live customer demos alongside leadership, listening to feedback from CXOs and product leaders, and turning it into real-world insights.
• Building and testing AI-driven workflows, benchmarking model outputs on accuracy, speed, and cost tradeoffs, and constantly experimenting with emerging AI tools.
• Learning fast: staying sharp on evolving AI/ML trends, applied ML and LLM techniques, and DPDP compliance frameworks.

We're the perfect match if you

• Have hands-on project, research, or internship experience with core ML tasks such as classification, NER, recommendation systems, or applied LLM/RAG projects, not just working with pre-built AI tools.
• Understand ML fundamentals: model evaluation, precision/recall tradeoffs, data preprocessing, and reasoning about why a model behaves the way it does.
• Have built with LLMs beyond basic prompting, such as RAG pipelines, embeddings/vector search, fine-tuning, or agentic workflows, using models like Claude, GPT, or similar.
• Possess exceptional problem-solving skills, first-principles thinking, and strong quantitative/analytical ability.
• Demonstrate strong business acumen: understanding the "why" behind features and how technology solves end-user pain points.
• Show excellent written and verbal communication skills, with the ability to articulate complex technical ideas clearly to technical and non-technical audiences alike.
• Possess a strong ownership mindset, high curiosity, and thrive in a fast-paced product environment.