Hinduja Tech Limited
Website:
hindujatech.com
Job details:
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.
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