Teaching Assistant - AI/ML | Part - Time | Odia

About the Opportunity

Masai School , in academic collaboration with a premier institute, is looking for an experienced Teaching Assistant – Artificial Intelligence & Machine Learning to support learners enrolled in an online AI/ML program.

As a Teaching Assistant, you will work closely with learners to help them understand AI/ML concepts, solve technical doubts, debug code, and apply their learning through practical projects .

This is a great opportunity for AI/ML professionals who enjoy teaching, mentoring, problem-solving, and helping others build strong technical foundations .

• Institution: Masai School, in academic collaboration with a premier institute
• Program: Artificial Intelligence & Machine Learning
• Time Commitment: 6–8 hours per week

Key ResponsibilitiesTeaching & Doubt Resolution

Conduct weekly doubt-solving and tutorial sessions in Odia .

Help learners understand AI/ML concepts, Python programming, and machine learning workflows .

Simplify complex technical concepts using practical examples.

Support learners with coding challenges, assignments, and AI/ML projects.

Help learners troubleshoot and debug Python and ML implementations.

Technical & Academic Support

Guide learners on data preprocessing, feature engineering, model selection, training, and evaluation .

Support learners with Supervised and Unsupervised Learning concepts and algorithms.

Help learners understand and implement ML models using Scikit-learn, PyTorch, or TensorFlow .

Guide learners in understanding model performance and improving their ML solutions.

Help learners understand basic model deployment and production workflows .

Project & Industry Support

Help learners build practical AI/ML projects and portfolios .

Review learner code, notebooks, assignments, and projects.

Provide actionable technical feedback to improve project quality.

Share real-world AI/ML use cases and industry practices.

Guide learners on standard ML tools, libraries, workflows, and development practices.

Help learners understand concepts such as model evaluation, feature engineering, overfitting, optimization, and deployment .

Learner Engagement

Provide regular feedback and technical guidance to learners.

Encourage learners to actively participate in sessions and discussions.

Track learner progress and highlight technical challenges to the academic team.

Support learners in completing projects and overcoming technical blockers.

Contribute feedback to improve the learning experience and course delivery.

Candidate Requirements Must Have

2+ years of hands-on experience in Artificial Intelligence / Machine Learning.

Strong Python programming skills.

Good understanding of:

Data preprocessing and feature engineering

Supervised and unsupervised learning

ML algorithms and model evaluation

Basics of deep learning

Hands-on experience with NumPy, Pandas, Scikit-learn , and TensorFlow or PyTorch .

Practical experience working on AI/ML projects .

Prior experience in teaching, mentoring, training, or technical support .

Strong Odia communication skills with the ability to explain technical concepts clearly.

Good to Have

Experience with ML model deployment or production workflows .

Familiarity with MLOps and Docker .

Experience with NLP or Computer Vision projects.

Familiarity with Git, Jupyter, and cloud platforms .

Experience conducting technical interviews or assessments.

Experience reviewing ML projects, portfolios, or resumes.

Experience mentoring students, developers, or early-career professionals.

Why Join Us?

Make a direct impact on learners building careers in AI and Machine Learning .

Help learners build practical, industry-relevant AI/ML projects .

Work remotely with a flexible 6–8 hours per week commitment.

Collaborate with Masai School and a premier academic institution.

Share your industry experience while developing your teaching and mentoring skills.

Stay connected with evolving AI/ML technologies and industry practices .