AI/ML Trainer

Datavalley India Pvt Ltd
₹20,000 - ₹40,000 एक माह
तेलंगाना
पूर्णकालिक
2 सप्ताह पहले

Location: Hyderabad & Vijayawada, India (Work from Office)

Experience Required: Minimum 2 years in the AI/ML training domain

Department: Learning & Development / Education & Training

Company: Datavalley.ai

About Datavalley.ai:

Datavalley.ai is a leading AI education and research organization, committed to enabling

the next generation of AI professionals. Through cutting-edge training programs,

industry-aligned curriculum, and applied learning, we help learners and organizations

stay ahead in the fast-evolving field of Artificial Intelligence.

Role Overview

We are seeking an experienced and passionate AI/ML Trainer with strong expertise in

Generative AI to join our training division. The ideal candidate will be responsible for

designing and delivering comprehensive training programs to college students, early

professionals, and corporate learners.

This role requires both technical depth and an ability to communicate complex concepts

clearly and effectively.

Roles & Responsibilities:

online and offline formats).

GANs, VAEs, Diffusion Models, Prompt Engineering, etc.).

frameworks.

learners.

goals.

training material.

Skills Required:

instructional roles.

PyTorch, Scikit-learn).

Transformers, Diffusion, RLHF).

OpenAI APIs is a plus.

Qualifications:

We welcome applicants from all educational backgrounds who can demonstrate deep

knowledge of AI/ML and strong teaching skills.

(B.E./B.Tech/M.Tech/B.Sc/M.Sc/BCA/MCA/MBA or equivalent).

teaching AI/ML and Generative AI.

Udacity, or similar) will be considered an added advantage.

What We Offer

Additional Notes

location(Telangana and Andhra Pradesh) to deliver on-campus training, seminars,

and workshops as needed.

engagements.

How to Apply

Send your resume and a brief cover letter to artishukla@datavalley.ai with the subject:

“Application for AI/ML Trainer – Generative AI

Job Types: Full-time, Permanent

Pay: ₹20,000.00 - ₹40,000.00 per month

Schedule:

Work Location: In person

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