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Develop, optimize a Multi-Modal Product Service and integrate text,
image, data to enhance theproduct. Implement computer vision pipelines
and use models like YOLOv10 and DinoV2, optimize object detection and
retrieval techniques with FAISS/HNSWLIB. Design and deploy Visual Search
Analytics Dashboards, analyze key merchandise metrics using Superset and
Snowflake SQL. Manage MongoDB-powered dashboards, automate data
pipelines, and refine data collection workflows for real-time business
intelligence. Conduct advance data analysis includes feature
engineering, exploratory data analysis (EDA), and optimize machine
learning models.
Benefits include: Health insurance, paid holidays, sick leave,
retirement plan eligibility.
Employer will accept a masters degree in computer science/business Admin
/ Analytics/engineering (any) C.I.S. or equivalent, plus one year of
experience.
The employees relocation is contingent on client needs. The frequency of
the relocation as well is unknown, and it purely depends on the clients
requirements. There is no National or International Travel involved for
this position.