Ai/ml Intern

6 days ago

Pune Maharashtra, India G-Source Technologies LLC. Full time

**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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