
Ai/ml Intern
6 days ago
**Job Description: AI/ML Research & Engineering Intern**
**Duration**: 6 Months
**Location**: On-site Location
**Stipend**: Competitive
**Position Overview**
We’re seeking a self-motivated, self-learning **AI/ML Research & Engineering Intern** to help build a proof-of-concept for a multimodal PDF-to-vector pipeline. You’ll blend research on cutting-edge vision+language models with hands-on prototyping of the end-to-end orchestration layer, from model outputs to structured vector primitives.
**Key Responsibilities**
- **Model Research & Fine-Tuning**
Survey and benchmark pre-trained vision-augmented models (e.g. GPT-4V, Segment Anything) for technical drawing segmentation.
Curate and annotate a small set of representative PDFs (10-20) to generate ground-truth masks and training data.
Fine-tune selected models and evaluate segmentation quality (IoU, precision/recall).
**Pipeline Prototyping & Integration**
Develop Python/Jupyter pipelines to ingest vision model outputs (masks, embeddings) and feed them, along with extracted text, into an LLM.
Design prompt templates and parsing logic so the LLM generates CAD-style commands (e.g. coordinates, polyline instructions).
Translate combined outputs into an intermediate JSON schema representing shapes and annotations.
**Output Validation & Demo**
Prototype simple writers (CSV or a lightweight DWG-export script) to verify that JSON maps back to vector primitives.
Build unit tests and example scripts showcasing end-to-end processing on sample PDFs.
**Documentation & Collaboration**
Maintain clear documentation of model experiments, data preparation steps, prompt designs, and integration code.
Present weekly updates and demo intermediate results to the senior AI team.
**Qualifications**
**Education**:
Pursuing or recently completed a Bachelor’s/Master’s in Computer Science, Data Science, Electrical Engineering, or a related field.
**Technical Skills**:
Proficiency in Python and experience with Jupyter notebooks.
Familiarity with deep-learning frameworks (TensorFlow, PyTorch, or similar).
Exposure to computer vision (e.g., OpenCV) and/or OCR tools is a plus.
Experience calling LLM APIs (OpenAI, LangChain, etc.) or willingness to learn prompt engineering.
**Soft Skills**:
**Self-Motivated & Self-Learner**: Able to independently research new models and implement proof-of-concept experiments.
Strong analytical and problem-solving abilities.
Clear written and verbal communication, comfortable presenting technical findings.
Pay: ₹10,000.00 - ₹15,000.00 per month
**Benefits**:
- Food provided
- Health insurance
- Provident Fund
Schedule:
- Day shift
Work Location: In person
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