Data Analyst

Job highlights

• Full Time . Intern . JOB SUMMARY . As a member of the Dataset team of the Machine Learning department you will be working on various detection,image processing and segmentation projects
• Looking for freshers,candidates willing to start their career in the Dataset field
• Required Experience .
• Should be eager to learn
• Preferred language : python . .

Data Analyst

Job Description

LOCATION:

• Mumbai
• Goa
• Work from Home/Remote

JOB TYPE:

• Full Time
• Intern

JOB SUMMARY

As a member of the Dataset team of the Machine Learning department you will be working on various detection, image processing and segmentation projects.

An understanding of computer vision and ML would be an added advantage to help integrate with other subsystems.

Responsibilities and Duties

• Work on image processing algorithm implementation required for Machine Learning Computer Vision
• Work on image classification, segmentation, and feature extraction
• Verifying and processing images for detection alogs
• AWS Database Management for all our images and scripts.
• Raw Video Processing - Process the Raw Videos into individual frames for Annotation filter the unwanted frames from the dataset.
• Pre-process Dataset - Using scripts to pre-process the datasets into specific formats for training of ML models.

Required Experience

• Looking for freshers, candidates willing to start their career in the Dataset field.
• On-going college students can also apply who can work for minimum 5 hrs daily.
• If applying for the position of interns, Should be available for at least a minimum of 3-6 months
• Interest in technology is an added advantage. Should be eager to learn.

Preferred Skills

• Should know programming in any language. Preferred language : python
• Diploma or Bachelor s degree in Computer Science, Information Technology preferred

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.