Teaching Assistant

About the job

As a Teaching Assistant for the Data Science and Data Analyst Offline Programs, your role is crucial in supporting learners throughout their journey from foundational analytics to advanced technologies like Deep Learning, Natural Language Processing (NLP), and Generative AI. Working closely with instructors, you will conduct doubt-clearing sessions, guide hands-on activities, support project development, and create a vibrant and application-driven learning environment. **Key Responsibilities:** - Conduct regular doubt-clearing sessions covering core topics such as Python, statistics, SQL, Excel, data visualization, machine learning, deep learning, NLP, and generative AI. - Organize structured hands-on exercises, data-centric case studies, and model-building challenges using real-world datasets and tools like Pandas, Scikit-learn, Tensorflow, PyTorch, Hugging Face, and OpenAI APIs. - Monitor learner progress, identify conceptual gaps, and offer personalized support across foundational and advanced AI concepts. - Foster an engaging classroom environment by encouraging curiosity, experimentation, and collaboration. **Sub-Goals:** - Strengthen learners' understanding in analytical and AI-driven topics through practice-oriented sessions. - Help students build confidence in handling complex problems using classical and modern AI tools. Collaborate with instructors to support learners in achieving key milestones such as Exploratory Data Analysis, Dashboard Design, Machine Learning Projects, Deep Learning Models, NLP Pipelines, and Generative AI Capstone Projects. Provide feedback on assignments involving regression, classification, neural networks, transformers, chatbot building, and generative model applications. Guide learners in developing a diverse portfolio demonstrating skills in data analysis, business problem-solving, and AI innovation. Ensure students gain hands-on exposure to AI applications like image generation, language modeling, and real-time analytics. Maintain batch records, including attendance, learner progress, and project completion tracking. Coordinate with academic and operation teams for seamless batch execution, including scheduling expert sessions on AI and managing resource distribution. Resolve day-to-day operational or technical issues that hinder the learning process. Collaborate in refining teaching methods and integrating feedback for better delivery of advanced AI concepts. **Required Qualifications and Skills:** - Education: Bachelors degree in Computer Science, Engineering, Statistics, or related field (or equivalent industry experience). - Technical Skills: Strong foundation in Python, SQL, Excel, Statistics, data visualization, and machine learning. Proficiency in deep learning frameworks, NLP libraries, and generative AI tools. - Hands-on Experience: Experience in developing and deploying ML/DL models, building dashboards, NLP pipelines, and experimenting with generative models. - Communication: Ability to explain fundamental and advanced AI concepts clearly. - Mentorship: Passion for teaching and mentoring learners in their data and AI journey. - Collaboration & Time Management: Balancing academic guidance, operational tasks, and team collaboration effectively. **Preferred Qualifications:** - Prior experience in mentoring learners in data fields. - Project or teaching experience in deep learning, NLP applications, or generative AI.

Requirements

• Python
• SQL
• Excel
• Statistics
• Data visualization
• Machine learning
• Deep learning
• NLP
• Generative AI

Qualifications

• Bachelors degree in Computer Science, Engineering, Statistics, or related field
• Strong foundation in Python, SQL, Excel, Statistics, data visualization, machine learning
• Proficiency in deep learning frameworks, NLP libraries, and generative AI tools

Preferred Technologies

• Python
• SQL
• Excel
• Statistics
• Data visualization
• Machine learning
• Deep learning
• NLP
• Generative AI

About the company

PhysicsWallah aims to provide quality education in a cost-effective manner, utilizing technology to reach a broader audience. The institution focuses on making learning accessible for students across various subjects.