Machine Learning (Computer Vision) Jobs in Bangalore - RoadMetrics
Job Description
About the internship
Selected intern's day-to-day responsibilities include:
1. Design, implement, and evaluate novel computer vision algorithms and models
2. Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems
3. Build end-to-end data pipelines to handle and manage large amounts of data
4. Go through the images manually sometimes and label them, debug models or interact with clients to create a custom model for them
5. Work in Python, Open CV, and deep learning frameworks like TensorFlow, Keras
1. Design, implement, and evaluate novel computer vision algorithms and models
2. Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems
3. Build end-to-end data pipelines to handle and manage large amounts of data
4. Go through the images manually sometimes and label them, debug models or interact with clients to create a custom model for them
5. Work in Python, Open CV, and deep learning frameworks like TensorFlow, Keras
Skill(s) required
Learn these skills on Internshala Trainings
Learn Python
Learn Git
Learn Amazon Web Services (AWS)
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 9th Dec'20 and 13th Jan'21
3. are available for duration of 3 months
4. have relevant skills and interests
Perks
Number of openings
1
Certificate: Will be provided at the end of the Internship
Job Particulars
Role it software engineer
Who can apply Freshers
Hiring Process Face to Face Interview
Employment Type0
Job Id1102361
Job Category IT/Software , BSc/BCA/BBM
Locality Address
State Karnataka
Country India
About Company
About RoadMetrics
RoadMetrics provides an accurate, efficient and portable solution to all road problems. Our smartphone application provides detailed road assessments in real-time using our artificial intelligence algorithm, thus helping governments and private firms to expedite road maintenance.
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