AI & Machine Learning Instructor (Generative AI & LLMs)

Job Title: AI & Machine Learning Instructor (Generative AI & LLMs)

Location: Coimbatore

Work Mode: Hybrid

Employment Type: Full-Time / Part-Time

About the Role

We are seeking a passionate and knowledgeable AI & Machine Learning Instructor to educate, mentor, and inspire students in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. The ideal candidate should possess both strong theoretical knowledge and hands-on industry experience, with the ability to simplify complex concepts and deliver engaging, project-based learning.

The instructor should stay updated with the latest advancements in AI while ensuring students develop a solid foundation in traditional machine learning concepts and modern AI technologies.

Key Responsibilities

• Deliver engaging classroom and online sessions on AI, Machine Learning, Deep Learning, and Generative AI.
• Develop and deliver structured course content for beginner to advanced learners.
• Teach both foundational AI concepts and the latest industry trends and technologies.
• Design assignments, coding exercises, assessments, and real-world capstone projects.
• Mentor students in implementing AI solutions and solving practical business problems.
• Guide students in building professional portfolios and GitHub projects.
• Conduct doubt-clearing sessions, code reviews, and one-on-one mentoring.
• Evaluate student performance and provide timely feedback.
• Continuously update course content based on industry developments and emerging technologies.
• Collaborate with the academic team to enhance curriculum quality and student outcomes.
• Prepare students for internships, placements, technical interviews, and AI careers.

Technical Skills Required

• Strong proficiency in Python programming.
• Solid understanding of Machine Learning concepts, algorithms, and model evaluation.
• Hands-on experience with Deep Learning using TensorFlow, Keras, or PyTorch.
• Knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, AI Agents, and modern AI frameworks such as LangChain or LlamaIndex.
• Experience with Natural Language Processing (NLP) and/or Computer Vision.
• Familiarity with Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and related tools.
• Understanding of model deployment using FastAPI, Flask, Streamlit, or similar frameworks.
• Experience with Git/GitHub, Jupyter Notebook, Google Colab, and version control.
• Basic knowledge of cloud platforms (AWS, Azure, or GCP) is an added advantage.

Why Join Us?

• Opportunity to shape the next generation of AI professionals.
• Teach cutting-edge AI technologies with real-world applications.
• Flexible Hybrid work environment.
• Work on industry-relevant projects and modern AI tools.
• Collaborative, innovative, and growth-oriented culture.
• Continuous learning and professional development opportunities.

Work Location: In person