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Engineering💼 FullTime

AI Trainer - LIVE

Company
5 days ago
Location

Not specified

Salary

Competitive

Apply By

ASAP

Views

15

Eligible Batches

🎓 2027 Batch🎓 2028 Batch

Job Description

Join LIVE as an AI Trainer and accelerate your career in AI and Machine Learning. This role offers challenging projects, opportunities for growth, and a chance to work with a dynamic team.

Roles & Responsibilities

Develop and implement AI training programs for various industries Collaborate with cross-functional teams to integrate AI solutions into existing processes Design and deliver AI training content to internal teams and external partners

Requirements

3+ years of experience in AI, Machine Learning, and Deep Learning Strong knowledge of Python, TensorFlow, and Keras Excellent communication and project management skills

Nice to Have

Experience with natural language processing (NLP) Familiarity with data preprocessing and visualization tools

Eligibility Criteria

B.Tech/B.E. (CSE/IT) with a minimum CGPA of 7.5 (2027/2028 Batch) or higher

Tech Stack & Ecosystem

AIMachine LearningDeep LearningPythonTensorFlowKeras

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Quick Info

TypeFullTime
Rolenull
Work Mode🏢 On-site
Eligible Batches
20272028

Tech Stack

AIMachine LearningDeep LearningPythonTensorFlowKeras

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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.