AI Trainer - LIVE
Not specified
Competitive
ASAP
7
Eligible Batches
Job Description
Roles & Responsibilities
Requirements
Nice to Have
Eligibility Criteria
B.Tech/B.E. (CSE/IT) with a minimum CGPA of 7.5 (2027/2028 Batch) or higher
Tech Stack & Ecosystem
Ready to Level Up?
Don't miss out on this opportunity. Click below to start your application on the official company careers portal.
JobGrid uses AI to enhance job descriptions and provide career insights. Always verify details on the official company careers page before applying.
Similar Opportunities
Jobs you might also be interested in

Software Engineer I at Nike
New
Associate Software Engineer at Maersk
NewSoftware Engineer Intern at True Beacon
NewQuick Actions
Quick Info
Tech Stack
Cold Email Generator
Stand out! Generate a personalized email to send to recruiters.
Share This Job
Stay Safe
Never pay for job applications. Report suspicious listings immediately.
Career Advice
Company Insights
Joining LIVE as an AI Trainer will give you a unique opportunity to work with a dynamic team and contribute to projects that impact various industries. You will have the chance to collaborate with cross-functional teams, design and deliver AI training content, and integrate AI solutions into existing processes. With LIVE's focus on innovation and growth, you will have access to opportunities for professional development and career advancement.
Interview Guide
Here are some tips to help you prepare for your AI Trainer interview at LIVE: To stand out, show that you have hands-on experience with AI and Machine Learning tools and technologies, such as TensorFlow and Keras. Highlight your expertise in designing and delivering AI training content and integrating AI solutions into existing processes. Demonstrate your ability to work with cross-functional teams and showcase your project management skills. Practice your communication skills by preparing to share your experiences and ideas clearly and concisely with the interview panel. Be prepared to discuss real-world examples of how you have applied AI and Machine Learning in your previous projects, and demonstrate your knowledge of industry trends and developments.