AI & Data Science + Agentic AI – Visiting Instructor

Job Title: Visiting AI & Data Science + Agentic AI Instructor
Location: Arfa Software Technology Park, Lahore
Employment Type: Part-Time / Visiting Instructor
Department: Training & Academics

Job Summary
PNY Trainings is looking for an experienced AI & Data Science + Agentic AI Instructor to deliver practical, project-based training in Artificial Intelligence, Data Science, Machine Learning, Generative AI, and Agentic AI.

Key Responsibilities

• Deliver onsite lectures and hands-on practical sessions.
• Teach Python for AI & Data Science.
• Train students in NumPy, Pandas, Matplotlib, and relevant libraries.
• Teach data preprocessing, EDA, statistics, and feature engineering.
• Explain Machine Learning algorithms and model development.
• Introduce Deep Learning and neural networks.
• Teach Generative AI, LLMs, Prompt Engineering, and AI applications.
• Explain Agentic AI, AI agents, tools, workflows, memory, and autonomous task execution.
• Train students in building AI-powered agents and automation workflows.
• Introduce APIs, RAG, vector databases, tool/function calling, and relevant AI frameworks.
• Develop real-world AI/Data Science projects.
• Guide students in creating AI portfolios and practical projects.
• Conduct assessments and evaluate student performance.
• Keep course content updated with emerging AI technologies.

Required Qualifications & Experience

• Bachelor's/Master's degree in AI, Data Science, Computer Science, Software Engineering, or related field.
• 3–4+ years of relevant AI, Data Science, ML, or teaching experience.
• Strong command of Python.
• Practical experience in AI/ML and Data Science.
• Hands-on experience with Generative AI and LLM applications.
• Practical understanding of Agentic AI and AI-agent workflows.
• Knowledge of APIs, RAG, vector databases, or AI automation preferred.
• Strong communication and presentation skills.
• Relevant projects/portfolio will be highly preferred.

Pay: Rs1,800.00 - Rs2,000.00 per day

Work Location: In person