
Data Scientist
2 days ago
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.
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