Offer summary

Qualifications:

2+ years of hands-on experience in AI/ML, including model building and deployment., Strong coding skills in Python and familiarity with libraries like NumPy, Pandas, and TensorFlow., Solid understanding of algorithms, data preprocessing, and deep learning., Excellent communication and interpersonal skills, with prior teaching or mentoring experience being a plus..

Key responsibilities:

Conduct weekly doubt-solving sessions to address student queries and explain AI/ML concepts.

Provide support in Q&A and discussion forums, responding to learner questions promptly.

Collaborate with the academic team to offer insights on AI/ML applications and trends.

Encourage learner engagement through discussions, assignment support, and feedback to enhance motivation.

Job description

Masai, in academic collaboration with a premier institute, is seeking a dedicated and knowledgeable Teaching Assistant (TA) to support its Artificial Intelligence & Machine Learning online program. The TA will play a key role in enhancing the learning experience through academic support, research assistance, and active learner engagement.

This is a part-time, remote opportunity ideal for professionals passionate about AI/ML who enjoy mentoring and contributing to high-impact learning outcomes.

Key Responsibilities (KRAs):

Doubt-Solving Sessions:
Conduct or moderate weekly sessions to address student queries, explain AI/ML concepts, and solve coding challenges.

Q&A and Discussion Forum Support:
Provide prompt and accurate responses to learner questions across platforms such as discussion forums, live chats, or email.

Research Support:
Work with the academic team to provide updated insights and real-world applications of AI/ML, model development, tools, and trends.

Learner Engagement:
Encourage active participation through discussions, assignment support, and continuous feedback to keep learners motivated and on track.

Content Feedback Loop:
Gather feedback from learners to help instructors refine course delivery and improve content clarity and relevance.

Candidate Requirements:

2+ years of hands-on experience in AI/ML, including model building, deployment, or research.
Solid understanding of algorithms, data preprocessing, supervised/unsupervised learning, deep learning, and real-world applications.
Strong coding skills in Python and familiarity with tools/libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
Excellent communication and interpersonal skills.
Prior teaching, mentoring, or TA experience is a plus.
Experience with Jupyter, Git, and LMS platforms is an added advantage.
Educational background from a top engineering institute or reputed AI/ML program is a plus.