Artificial Intelligence (ai) Trainer – Offline

Year    KL, IN, India

Job Description



We are looking for an

experienced Artificial Intelligence (AI) Trainer

to conduct

offline training sessions

for students and professionals at our Trivandrum center. The trainer must have strong expertise in

AI concepts, Machine Learning, and Deep Learning

, along with proven training/teaching experience and excellent English communication skills.

Responsibilities



Deliver

offline classes

on Artificial Intelligence and related fields. Topics to cover include: AI fundamentals & applications Machine Learning (Supervised, Unsupervised, Reinforcement Learning) Deep Learning (Neural Networks, CNN, RNN) Natural Language Processing (NLP) Computer Vision basics Model training, evaluation & deployment Hands-on projects using

Python, TensorFlow, PyTorch, Scikit-learn

Prepare training content, case studies, and assignments. Mentor students for

projects, certifications, and career readiness

. Stay updated with industry trends in AI/ML.

Requirements



Trainer experience is mandatory

(minimum 2-3 years preferred). Strong expertise in

AI/ML frameworks & libraries

(TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.). Good programming skills in

Python

(mandatory). Knowledge of Data Science & Cloud AI tools is an added advantage. Graduation/Post-Graduation in Computer Science, AI, Data Science, or related field.

Laptop mandatory.

Excellent English communication skills.

Ability to work

offline at Trivandrum

.

Salary



Competitive (based on subject expertise & experience). Performance-based incentives.
How to Apply

Submit your resume directly to:

8943384338 (WhatsApp/Call)



Job Type: Full-time

Pay: ₹9,229.55 - ₹65,540.64 per month

Work Location: In person

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Job Detail

  • Job Id
    JD4294225
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    KL, IN, India
  • Education
    Not mentioned
  • Experience
    Year