About the Role :

We are looking for a highly skilled and motivated Data Scientist with 35 years of experience to join our Data Innovation team. The ideal candidate will have strong analytical skills, hands-on experience in Computer Vision and Large Language Models (LLMs), and a proven track record of turning complex data into actionable insights and intelligent solutions. This role will involve working on high-impact AI solutions for unstructured data, including images and documents.

Designation : Data Scientist

Key Responsibilities :

- Design, develop, and deploy models for computer vision tasks such as object detection, image classification, OCR, segmentation, etc.

- Build and fine-tune LLM-based pipelines for tasks such as information extraction, document summarization, chat-based interfaces, and automated reasoning.

- Work closely with cross-functional teams (engineering, product, business) to translate business problems into data science solutions.

- Conduct exploratory data analysis, statistical modelling, and feature engineering across diverse data sources.

- Evaluate model performance using appropriate metrics and iterate for improvement.

- Stay up to date with the latest research and advancements in AI/ML, computer vision, and NLP.

Required Qualifications :

- Bachelors or masters degree in computer science, Data Science, Engineering, or related fields.

- 3 - 5 years of hands-on experience in Data Science or Machine Learning roles.

- Strong proficiency in Python and ML libraries such as scikit-learn, pandas,

PyTorch/TensorFlow, OpenCV, Langchain etc.

- Experience with Computer Vision frameworks (e.g., YOLO, Detectron2, MM Detection) and LLMs (e.g., Hugging Face Transformers, Lang Chain, LLaMA, GPT).

- Experience with real-world model deployment and evaluation.

- Strong grasp of machine learning concepts, statistical analysis, and data manipulation.

- Excellent problem-solving, communication, and stakeholder collaboration skills.

Good to have :

- Exposure to the lending, finance, or banking domain (e.g., credit scoring, income estimation,

fraud detection).

- Experience with document AI or multi-modal AI systems.

- Familiarity with cloud platforms (AWS/GCP/Azure) and MLops tools.

- Experience working with OCR engines (Tesseract, PaddleOCR, etc.) and integrating CV+LLM

pipelines.

- Understanding of RAG pipelines, fine-tuning of open-source LLMs, or prompt engineering.

Location : Ahmedabad (Onsite)

Experience : 3 to 5 Years