Opportunity for Data Scientist

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 strong 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.