Opportunity for Data Scientist

Hinduja Tech Limited; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Hinduja Tech Limited is seeking a Data Scientist focused on Computer Vision & Vision Language Models for their Pune office. The role requires 5+ years total experience, with at least 2+ years in CV/multimodal AI, and a strong foundation in ML/DL, transformers, and LLM/VLM technologies.

The candidate should have hands-on experience with PyTorch, OpenCV, CUDA, and experience tooling like Docker, MLflow, Databricks, and cloud platforms. CAD/technical document processing exposure is a plus.

Qualifications

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

Responsibilities

• Research and implement computer vision and multimodal AI models.
• Experiment with new architectures and research papers.
• Analyze datasets and identify opportunities for improvement.
• Build practical AI solutions from cutting-edge research.

Skills

ML fundamentals

DL fundamentals

Transformers

VLMs

Multimodal AI

PyTorch

HF Transformers

OpenCV

CUDA

Docker

MLflow

Databricks

Cloud ML

MLOps

OCR/Doc

Data Pipelines

Evaluation

Education

Bachelor's or Master's in CS/AI/DS/CE

Tools

Docker

MLflow

Databricks

PyTorch

Hugging Face Transformers

OpenCV

CUDA

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

• 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).

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.
• 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

• 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
• 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.