Job Title: AI/ML Engineering Intern Intern-to-Hire
Location: Marathahalli Bangalore
Work Schedule: Monday to Saturday (Alternate Saturdays Off) 10:30 AM 7:30 PM
About the Role 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: 4.5 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 and amp; Conversion Path
Internship Duration: 3 to 6 Months
Stipend: 15000 per month
Post-Internship Conversion: Full-time role with CTC 4.5 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 cases
Work with AI engineers data scientists and product teams to translate business problems into AI solutions
Preprocess datasets implement model workflows and run performance evaluations
Conduct research and experiments on LLM use cases (e.g. chatbots document automation fraud analytics)
Document code models and experimental results clearly and consistently
Stay updated with trends in AI LLM frameworks and open-source ecosystems (e.g. LangChain Ollama)
Eligibility and amp; Requirements
Bachelors Degree 2023 or 2024 pass-out) in AI/ML Engineering Computer Science Data Science or a related field
Strong coding skills in Python (or Java) and understanding of machine learning concepts
Exposure to ML frameworks like TensorFlow PyTorch or Hugging Face Transformers
Familiarity with open-source LLM ecosystems and libraries (LangChain Ollama etc. is a strong plus
Good understanding of statistics data structures and model evaluation techniques
Strong analytical mindset and self-learning ability
Effective communication skills and the ability to collaborate in a team
Interview Process (Intern-to-Hire Track)
Technical Round Evaluation of ML/LLM fundamentals and coding skills
Product/Project Round Understanding of BFSI use cases and solution approach
HR and amp; Communication Round 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 and amp; 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 products
Learn from experienced AI engineers and product leaders
Clear path to full-time employment with long-term career potential in BFSI AI innovation
Exposure to fast-evolving LLM and open-source tech stacks