Job Description

Data Scientist – Computer Vision & Vision Language Models (VLM)

Location: Pune, Maharashtra, India

Experience: 5+ Years Total Experience | Minimum 2+ Years Relevant Experience in Computer Vision / Multimodal AI

Education

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or a related field.

Technical Skills

Machine Learning & Deep Learning

- Strong understanding of Machine Learning and Deep Learning fundamentals.
- Strong understanding of Transformer architectures and attention mechanisms.
- Practical knowledge of Large Language Models (LLMs) and Vision Language Models (VLMs).
- Hands-on experience fine-tuning deep learning models.

Computer Vision

- Strong understanding of image processing and computer vision fundamentals.
- Experience working with image datasets and visual data pipelines.
- Familiarity with OCR, document understanding, object detection, image classification, or related computer vision tasks.

Multimodal AI

- Experience working with Vision Language Models and multimodal systems.
- Understanding of model evaluation, benchmarking, and performance optimization techniques.
- Experience with parameter-efficient fine-tuning methods such as LoRA, QLoRA, or PEFT.





Programming & Frameworks

- Strong Python programming skills.
- Hands-on experience with:
- PyTorch
- Hugging Face Transformers
- OpenCV
- CUDA/GPU-based training environments

Preferred Qualifications

- Experience working with engineering drawings, technical drawings, CAD documents, or manufacturing data.
- Exposure to vector graphics, PDFs, SVGs, CAD formats, or technical document processing.
- Experience with synthetic data generation techniques.
- Hands-on experience with:
- Docker
- MLflow
- Databricks
- Model deployment workflows
- Experience working with cloud-based AI/ML platforms.
- Knowledge of MLOps best practices and experiment management.

Desired Candidate Profile

The ideal candidate:

- Has a robust foundation in Computer Vision and Deep Learning.
- Understands how transformer-based multimodal models work.
- Is comfortable experimenting with new architectures and research papers.
- Can independently analyze datasets and identify opportunities for improvement.
- Enjoys solving challenging AI problems using both research and engineering approaches.
- Has a passion for building practical AI solutions from cutting-edge research.

📌 Opportunity for Data Scientist (Pune)
🏢 Hinduja Tech
📍 Pune