Image Processing (ML & AI) Intern

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Image Processing (ML & AI)

Cube Highways And Transportation Assets Advisors Private Limited

Start Date
Starts immediatelyImmediately
Duration
6 Months
Stipend
₹ 20,000 /month
APPLY BY
6 Oct' 22
Posted 3 weeks ago
Internship

About the internship

Selected intern's day-to-day responsibilities include:

1. Conducting research by implementing machine learning/deep learning models
2. Solving object detection, recognition, and image classification problems using machine learning and deep learning algorithms
3. Using OpenCV with TensorFlow for a number of object detection & classification use-cases
4. Managing the dataset, training, testing, and analyzing the models
5. Building tools and frameworks to integrate machine learning tools into other company software

Skill(s) required

Artificial intelligence Image Processing JavaScript Machine Learning OpenCV Python

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 21st Sep'22 and 26th Oct'22

3. are available for duration of 6 months

4. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Perks

Certificate Letter of recommendation Flexible work hours Informal dress code 5 days a week
Additional information

We are creating a new product that involves working on video image analysis-detecting objects, vehicles, and people in real-time.
Note: Please apply only if you are willing to be in Hyderabad during the course of the internship.

Number of openings

3

About Cube Highways And Transportation Assets Advisors Private Limited

We are a Singapore-based company. We invest in road and highway projects along with other selected infrastructure sectors in India. We are an independent and professionally managed organization, leveraging the extensive transportation experience of its management and execution advisory teams.
Activity on Internshala
Hiring since March 2021
15 opportunities posted
3 candidates hired
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