with deep knowledge of AI-powered tools and creative workflows. The ideal candidate should be capable of educating, inspiring, and mentoring students on the latest Generative AI platforms and techniques used in modern content creation.
NOTE:
Need to Travel when and where required as per the instructions of the Management.
Need to give a Commitment for 02 Yrs with the Organization
RunwayML
Midjourney
ChatGPT (Prompt Engineering, Content Generation)
Stable Diffusion / DALLE / Leonardo AI
Large Language Model (LLM) Platforms such as Claude, Gemini, GPT-4, etc.
Role & responsibilities
Design and deliver
training programs
on Generative AI fundamentals and advanced topics.
Conduct
hands-on workshops
on building AI-powered applications using LLM APIs and frameworks.
Teach
prompt engineering techniques
for text generation, summarization, and contextual reasoning.
Demonstrate
fine-tuning and model customization
for domain-specific tasks.
Guide participants in
building RAG-based solutions
using vector databases and document retrieval systems.
Cover
deployment strategies
for GenAI models on cloud platforms and edge devices.
Provide training on
evaluation metrics
for AI models accuracy, coherence, toxicity detection.
Incorporate
real-world case studies
from finance, healthcare, retail, and customer service domains.
Create
training materials, labs, and coding exercises
for self-paced and instructor-led sessions.
Evaluate participant progress through projects, assignments, and quizzes.
Stay up to date with
latest GenAI research, tools, and best practices
and integrate them into training content.
Preferred candidate profile
01 year of experience in
AI/ML, Generative AI
.
development
.
Strong coding skills in
Python
with experience in
transformer-based models
.
Previous experience in
technical training, mentoring, or corporate workshops
.
Excellent communication and presentation skills.
Passion for
emerging AI technologies
and ability to simplify complex topics for varied audiences.
Job Type: Full-time
Pay: From ?18,000.00 per month
Language:
English (Preferred)
Work Location: In person
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