AI/ML Intern

INPRO; Bengaluru; On-site; INR 500,000 - 900,000; Full time

Job summary

INPRO in Bengaluru is seeking a fresh AI/ML engineer to design and implement NLP pipelines, including retrieval, prompt orchestration, tools/agents, and guardrails. The role also involves fine-tuning LLMs and embedding models, crafting prompts and evaluators for reliability, and building data/feature pipelines, vector indexes, and evaluation harnesses.

The engineer will integrate models into products via APIs/microservices, enforce safety and compliance, and establish offline/online evals with

Qualifications

• Fresh graduate (fresher) applying for AI/ML engineer role.
• Design and implement NLP pipelines including retrieval, prompt orchestration, tools/agents, and guardrails.
• Fine-tune or adapt LLMs/embedding models; craft prompts and evaluators for reliability.

Responsibilities

• Build data/feature pipelines, vector indexes, and evaluation harnesses (quality, latency, cost).
• Integrate models into products via APIs/microservices; enforce safety and compliance.
• Establish offline/online evals, A/B tests, and observability for hallucinations/drift.
• Document architectures and MLOps workflows; mentor peers on LLM best practices.

Skills

NLP pipelines

Prompt engineering

LLM tuning

MLOps

Evaluation & monitoring

Education

BE/BTech in CSE/IT/AI/ML

MTech/ME/MSC IT or equivalent

Tools

Python

LLM frameworks

Vector indexes

APIs / Microservices

Job description

• We are looking for a fresher AI/ML engineer.
• Design and implement NLP pipelines: retrieval, prompt orchestration, tools/agents, and guardrails.
• Fine-tune or adapt LLMs/embedding models; craft prompts and evaluators for reliability.
• Build data/feature pipelines, vector indexes, and evaluation harnesses (quality, latency, cost).
• Integrate models into products via APIs/microservices; enforce safety and compliance.
• Establish offline/online evals, A/B tests, and observability for hallucinations/drift.
• Document architectures and MLOps workflows; mentor peers on LLM best practices.

Qualifications

BE-CSE/IT/Computer/Computer Science and Design/Computer Science BTECH-CSE/IT/AI/ ML MTECH-CSE MCA-IT/Computer Science MSC-IT/Computer ME-Computer MCM-Computer