AI/ML Engineering Intern – Intern-to-Hire

Job Title:

AI/ML Engineering Intern â Intern-to-Hire

Location:

Marathahalli, Bangalore

Work Schedule:

Monday to Saturday (Alternate Saturdays Off), 10:30 AM â 7:30 PM

About The Role â Intern-to-Hire Opportunity

We are looking for a

high-potential AI/ML Engineering Intern

who is passionate about open-source technologies and AI applications in the

Banking, Financial Services, and Insurance (BFSI)

domain. This is a

3 to 6-month internship

with a

structured path to full-time employment (CTC: â¹4.5 LPA)

based on performance.This is an excellent opportunity for fresh graduates to gain hands-on experience with Large Language Models (LLMs), AI product development, and scalable machine learning solutions in a high-impact industry setting.

Stipend & Conversion Path

Internship Duration:

3 to 6 Months

Stipend:

â¹15,000 per month

Post-Internship Conversion:

Full-time role with

CTC â¹4.5 LPA

, based on successful completion and performance evaluation

Key Responsibilities

Assist in the development and fine-tuning of AI/ML solutions tailored for BFSI use casesWork with AI engineers, data scientists, and product teams to translate business problems into AI solutionsPreprocess datasets, implement model workflows, and run performance evaluationsConduct research and experiments on LLM use cases (e.g., chatbots, document automation, fraud analytics)Document code, models, and experimental results clearly and consistentlyStay updated with trends in AI, LLM frameworks, and open-source ecosystems (e.g., LangChain, Ollama)

Eligibility & Requirements

Bachelor's Degree

(2023 or 2024 pass-out) in

AI/ML Engineering

, Computer Science, Data Science, or a related fieldStrong coding skills in

Python

(or Java) and understanding of machine learning conceptsExposure to ML frameworks like

TensorFlow

,

PyTorch

, or

Hugging Face Transformers

Familiarity with open-source LLM ecosystems and libraries (LangChain, Ollama, etc.) is a strong plusGood understanding of statistics, data structures, and model evaluation techniquesStrong analytical mindset and self-learning abilityEffective communication skills and the ability to collaborate in a team

Interview Process (Intern-to-Hire Track)

Technical Round

â Evaluation of ML/LLM fundamentals and coding skills

Product/Project Round

â Understanding of BFSI use cases and solution approach

HR & Communication Round

â Evaluation of team fit and professional readiness

Note:

Use of AI agents or search tools during technical interviews is

strictly prohibited

. All coding tests will be monitored.

Location & Work Mode

On-site role

at our office in

Marathahalli, Bangalore

Workdays: Monday to Saturday (Alternate Saturdays Off)Timings: 10:30 AM to 7:30 PM

Why Join Us?

Hands-on experience in developing real-world AI productsLearn from experienced AI engineers and product leadersClear path to full-time employment with long-term career potential in BFSI AI innovationExposure to fast-evolving LLM and open-source tech stacks