
Data Scientist Associate
23 hours ago
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:
- Bachelor's or master's 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
Please share your updated resume
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