Data Scientist

Company Description

Supervsr provides Vision AI solutions for CCTV surveillance systems tailored to business establishments and public places. Our technology is designed to enhance and ensure security and efficiency in any environment. With cutting-edge artificial intelligence, we strive to deliver reliable and effective surveillance solutions for our clients.

Role Description

This is a full-time on-site role for a Data Scientist located in Kolkata. The Data Scientist will be responsible for developing and implementing advanced data-driven solutions to enhance and optimize our Vision AI surveillance systems. The role involves working on computer vision models (YOLO, object detection, tracking, ReID, etc.), LLMs for multimodal applications, and fine-tuning / customization of AI models for real-world deployments. The candidate will also conduct advanced data analysis, design and validate statistical and machine learning models, develop scalable pipelines, and create intuitive data visualizations to communicate actionable insights. Collaboration with cross-functional teams (engineering, product, and research) will be key to driving innovation and strategic initiatives.

Qualifications

• Proven expertise in Data Science with strong Python programming skills (NumPy, Pandas, PyTorch / TensorFlow).
• Hands-on experience with computer vision models such as YOLO, OpenCV, object detection, segmentation, tracking, and ReID .
• Experience in working with LLMs and multimodal AI systems , including fine-tuning and prompt engineering for domain-specific tasks.
• Strong foundation in Statistics, Data Analytics, and Machine Learning .
• Ability to design, train, evaluate, and deploy AI / ML pipelines at scale.
• Excellent analytical and problem-solving skills with the ability to translate complex data into business impact.
• Strong written and verbal communication skills.
• Ability to collaborate effectively in a fast-paced, cross-functional team environment .
• Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or a related field .
• Experience in AI-driven video analytics, surveillance, or real-time computer vision systems is a strong plus.