Nsemble AI jobs - Social Media Marketing

Social Media Marketing

Nsemble AI
experience Fresher
salary Salary not disclosed
qualification
Read More...
Job is expired
Posted: 4 Years ago
Applications:
Openings: 2

Job Description


About the internship
Selected intern's day-to-day responsibilities include:

1. Managing our Facebook and Instagram brand page
2. Working on DM/PM to get more leads over social media
3. Sending email clients based on requirements and follow-up
4. Creating quality promotional contents
Skill(s) required
  • Facebook Marketing
  • Email Marketing
  • Instagram Marketing
  • Learn these skills on Internshala Trainings
    Who can apply

    Only those candidates can apply who:

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

    2. can start the internship between 16th Sep'20 and 21st Oct'20

    3. are available for duration of 6 months

    4. have relevant skills and interests

    Other requirements

    1. Candidates interested in fashion or worked in the fashion industry may be given preference

    Perks
  • Certificate
  • Letter of recommendation
  • Flexible work hours
  • Number of openings
    2

    Job Particulars

    Role  Digital marketing / SEO
    Who can apply Freshers
    Hiring Process Face to Face Interview
    Employment Type Apprenticeship
    Job Id 479371
    Job Category Diploma
    State Delhi
    Country India

    About Company

    About Nsemble AI
    We, at Nsemble.ai, believe in delivering the best-in-class performance to our clients by developing applications that specifically cater to their requirements and maximize their ROI by automating their business operations. Our solid background and diverse experience in AI development gives us a competitive edge and distinguishes us from other artificial intelligence development companies. We design powerful AI solutions that integrate seamlessly with the client's business model and fuel its growth in every way. Our expertise extends to the wise range of AI technologies including machine learning, deep learning, natural language processing, computer vision, and more.
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