Automobile Engineering Troubleshooting & Repair Logic Generation for AI Work From Home Internship

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Automobile Engineering Troubleshooting & Repair Logic Generation for AI
Start Date
Starts immediatelyImmediately
Duration
3 Months
Stipend
₹ 15,000 /month
APPLY BY
15 Feb' 23
Posted 3 weeks ago
Internship

About the work from home job/internship

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

1. Preparing troubleshooting logic trees for AI model preparations
2. Representing logic using PowerPoint, miro, and other such graphic tools

Qualifications:

1. A degree in automobile engineering

Skills Required:

1. Knowledge of automotive systems and components, such as engines, transmissions, and electrical systems
2. Keen interest in troubleshooting and logical thinking
3. Ability to read and understand technical manuals, schematics, and service bulletins
4. Strong problem-solving skills to diagnose and repair complex mechanical issues
5. Ability to work well under pressure and meet deadlines
6. Good communication skills to explain technical issues to customers and colleagues
7. Strong work ethic and willingness to stay current with new technologies and advancements in the field

Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 1st Feb'23 and 8th Mar'23

3. are available for duration of 3 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

Number of openings

3

About Amber Flux Private Limited

Amber Flux is an early-stage technology product company that provides resource management solutions for enterprises using edge computing and artificial intelligence. Our technology has been patented in the USA and a patent is pending in India. Our technology combines machine learning with electrical engineering, computer science, and telecom to make life easy for enterprises across the globe in their energy management and go-green endeavors. We are currently expanding our solution portfolio with the use of machine learning in e-commerce and m-commerce.
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Hiring since June 2014
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