AI / ML / DL Trainer

We are looking for an enthusiastic and skilled AI / ML / DL Trainer to join our academic team at G Tec Computer Education, Anna Nagar.

The ideal candidate should have strong technical expertise in Artificial Intelligence, Machine Learning, and Deep Learning, along with solid programming knowledge in Java, Python, C, and C++.

You should be able to teach, guide, and mentor students from diverse academic and coding backgrounds — ensuring conceptual clarity and hands-on learning.

Responsibilities:

• Train students in AI, Machine Learning, and Deep Learning concepts from basics to advanced.
• Deliver interactive sessions with practical coding demonstrations and projects.
• Provide hands-on training in Python, Java, and C/C++ for algorithmic understanding.
• Design assignments, assessments, and project topics to enhance practical learning.
• Guide students on mini projects and final-year projects related to AI and ML.
• Stay updated with the latest AI/ML/DL frameworks and tools.
• Support students in developing strong problem-solving and analytical skills.

Required Skills:

• Strong command of Python programming (NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, PyTorch).
• Sound understanding of core programming concepts in Java, C, and C++.
• Knowledge of Machine Learning algorithms, Neural Networks, and Deep Learning architectures (CNN, RNN, etc.).
• Good communication and presentation skills for effective student engagement.
• Ability to teach students from different backgrounds (CS / IT / Non-CS streams).

Added Advantage:

• Experience in guiding academic or industry-level AI/ML projects.
• Familiarity with Data Science tools (Power BI, Jupyter, Anaconda).
• Exposure to Generative AI tools and LLM-based projects.
• Certification or prior teaching/training experience (preferred but not mandatory).

Perks & Benefits:

• Opportunity to work in a growing technical education environment.
• Exposure to emerging technologies and project-based teaching.
• Support for continuous learning and upskilling.
• Friendly and collaborative academic culture.

Job Types: Full-time, Part-time

Pay: Up to ₹18,000.00 per month

Work Location: In person