About the internship
Selected intern's day-to-day responsibilities include:
1. Manage social media profiles by scheduling posts, responding to comments, and engaging with our audience.
2. Monitor social media trends and provide insights on how to enhance our social media presence.
3. Conduct research on industry trends, competitors, and target audiences.
4. Analyze data using tools like Google Analytics to measure the success of our marketing activities.
5. Support the planning and execution of marketing campaigns, including email newsletters and online ads.
Skill(s) required
Content Marketing
Content Writing
Digital Marketing
Effective Communication
Social Media Marketing
Earn certifications in these skills
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 29th Aug'24 and 3rd Oct'24
3. are available for duration of 3 months
4. are from or open to relocate to Bangalore
5. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Other requirements
1. Strong interest in digital marketing and social media.
2. Good writing and communication skills.
3. Familiarity with social media platforms such as Instagram, Facebook, and LinkedIn.
4. Eagerness to learn and contribute creative ideas.
Perks
Certificate
Informal dress code
5 days a week
Free snacks & beverages
Number of openings
1
About Big Vision LLC
Big Vision LLC is a USA-based company that specializes in computer vision, machine learning, deep learning, and artificial intelligence consulting services and products. We also run a popular computer vision blog. Big Vision LLC is an AI consulting firm with deep expertise in advanced computer vision and machine learning (CVML) research and development. We are responsible for creating online courses in artificial intelligence and computer vision for one of our clients.
Founded by Dr. Satya Mallick, an accomplished computer vision and machine learning scientist and engineer, we have worked on a variety of problems, including face processing (detection and recognition), object recognition using deep learning, computational photography, augmented reality, document analysis, 3D reconstruction, medical image processing, and 3D cryo-electron microscopy, to name a few.
