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Research and development

Isourse

Internship

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In-office

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2 Openings

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Starting on 12th April

Job Description

  1. Responsibilities:
  2. 1.Designing ML systems
  3. 2. Worked on IOT boards(ARDUINO UNO & RASBERRY)
  4. 3. Worked with IOT sensors and manage the device connectivity.
  5. 4. Communication of devices through micro-processors.
  6. 5 Development of micro-processors.
  7. 6.Researching and implementing ML algorithms and tools
  8. 7. Selecting appropriate data sets
  9. 8. Picking appropriate data representation methods
  10. 9. Identifying differences in data distribution that affects model performance
  11. 10. Verifying data quality
  12. 11. Transforming and converting data science prototypes
  13. 12. Performing statistical analysis
  14. 13. Running machine learning tests
  15. 14. Using results to improve models
  16. 15. Training and retraining systems when needed
  17. 16. Extending machine learning libraries
  18. 17. Developing machine learning apps according to client requirements

Candidate Preference

1. Who are available for full time (in-office) internship. 2. Who can join immediately. 3. Who are available for duration of 6 months internship and 6 months job. 4. Have relevant skills and interests

Inactive

Inactive

Job Overview

IconDate

Date Posted:

Posted 800 days ago

IconLocation

Location:

Delhi

IconSalary

Stipend:

INR 15,000 /month

Job Category

Technology

Job Skills

Research

User Experience Design

Internship

IconTime

800 days ago

Research and development

Isourse
IconLocation

Delhi

IconRupee

15,000 /month

IconApplicant

410 applicants

iconbuilding

Technology

Skills

Research

User Experience Design

companyLogoUrl

dot

In-office

dot

2 Openings

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Starting on 12th April


Job Description

  1. Responsibilities:
  2. 1.Designing ML systems
  3. 2. Worked on IOT boards(ARDUINO UNO & RASBERRY)
  4. 3. Worked with IOT sensors and manage the device connectivity.
  5. 4. Communication of devices through micro-processors.
  6. 5 Development of micro-processors.
  7. 6.Researching and implementing ML algorithms and tools
  8. 7. Selecting appropriate data sets
  9. 8. Picking appropriate data representation methods
  10. 9. Identifying differences in data distribution that affects model performance
  11. 10. Verifying data quality
  12. 11. Transforming and converting data science prototypes
  13. 12. Performing statistical analysis
  14. 13. Running machine learning tests
  15. 14. Using results to improve models
  16. 15. Training and retraining systems when needed
  17. 16. Extending machine learning libraries
  18. 17. Developing machine learning apps according to client requirements

Candidate Preferences:

1. Who are available for full time (in-office) internship. 2. Who can join immediately. 3. Who are available for duration of 6 months internship and 6 months job. 4. Have relevant skills and interests

Inactive

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