Job Description

We are looking for an

AI Trainer with strong industry exposure

to train students and professionals in Artificial Intelligence, Machine Learning, and related technologies. The trainer should have

hands-on industry experience

in applying AI solutions to real-world business problems, and the ability to bring those insights into the classroom.

Key Responsibilities

Deliver

engaging classroom and online sessions

on AI, ML, Deep Learning, NLP, and related technologies. Share

real-world industry use cases

and help students bridge the gap between theory and practice. Design

project-based learning modules

reflecting current industry applications (chatbots, recommendation systems, computer vision, etc.). Guide students in

end-to-end projects

(data collection, preprocessing, modeling, deployment). Help learners prepare for

industry certifications

(AWS AI/ML, Microsoft AI, Google AI). Mentor students on

career paths, portfolio building, and interview preparation

. Collaborate with the placement team to align training with

industry job roles

(AI Engineer, Data Scientist, ML Engineer, AI Analyst). Stay updated on

emerging AI trends

(Generative AI, LLMs, AI ethics, automation).

Required Skills & Expertise

3-7 years of combined industry and teaching/training experience

in AI/ML. Proficiency in

Python, ML/DL frameworks

(TensorFlow, PyTorch, Keras, Scikit-learn). Hands-on experience in

deploying AI solutions

in real-world applications. Knowledge of

cloud platforms

(AWS, Azure, GCP) for AI/ML integration. Strong knowledge of

industry use cases

in BFSI, Healthcare, Retail, Manufacturing, or IT services. Excellent communication skills with the ability to

simplify complex AI concepts

. Passion for

mentorship, knowledge sharing, and skill development

.

Qualifications

Bachelor's/Master's degree in

Computer Science, AI, Data Science, or related field

. Hands-on

AI/ML project experience

is mandatory. Relevant certifications (AWS AI/ML, Azure AI Engineer, Google AI, etc.) preferred.
Job Types: Full-time, Part-time

Language:

English (Preferred)
Work Location: In person