Job Description

Key Responsibilities:

Deliver high-quality training sessions

on Machine Learning, Deep Learning, AI, and related technologies.

Develop curriculum and learning materials

(presentations, assignments, labs, projects).

Mentor and guide learners

through hands-on exercises, coding sessions, and real-world case studies. Explain complex ML concepts (e.g., supervised/unsupervised learning, neural networks, model evaluation) in a

simple and engaging way

. Stay updated with

latest ML tools, frameworks, and research trends

.

Assess learners' performance

, provide constructive feedback, and support their career readiness. Collaborate with the academic/product team to

continuously improve course content

and learning outcomes. (Optional) Contribute to

AI research projects or content development

for the organization.

Required Skills & Qualifications:

Bachelor's or Master's degree in

Computer Science, Data Science, AI/ML, or a related field

.

Strong programming skills

in Python (experience with NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch). Solid understanding of: Machine Learning algorithms (regression, classification, clustering, etc.) Deep Learning concepts (CNNs, RNNs, LSTMs, etc.) Data preprocessing, feature engineering, and model evaluation techniques. Excellent

communication and presentation skills

. Passion for

teaching, mentoring, and simplifying complex topics

. 2+ years of experience as an

ML engineer, data scientist, or technical trainer

. Familiarity with

cloud ML platforms

(AWS Sagemaker, Google AI, Azure ML, etc.). Knowledge of

MLOps, NLP, or Generative AI

is a plus. Experience creating

project-based learning content

for learners.
Job Types: Full-time, Part-time, Permanent

Pay: ₹35,000.00 - ₹60,000.00 per month

Benefits:

Provident Fund
Work Location: In person