Social Media Marketing Jobs in Delhi - Nsemble AI
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
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
Learn these skills on Internshala Trainings
Learn Facebook Marketing
Learn Email Marketing
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
Number of openings
2
Job Particulars
Role seo social media
Education Diploma, M Phil / Ph.D, B.Com, M.Com, MA, BBA/BBM, BCA, BEd, BSc, MCA, MEd, MSc, PG Diploma, 12th Pass (HSE), BFA, BSW
Who can apply Freshers
Hiring Process Face to Face Interview
Employment Type0
Job Id1112488
Job Category Diploma , Digital Marketing
Locality Address
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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