Job Location Bhopal (Onsite)
Pay: ₹5 LPA- ₹10 LPA per year

Key Responsibilities
Deliver Engaging Training: Teach modules across both Applied AI/ML and Generative AI, emphasising hands-on coding, tool implementation, and project-based learning.
Curriculum Development: Collaborate with the content team to refine course materials, ensuring alignment with industry trends and learner needs.
Hands-On Labs: Facilitate interactive sessions using tools like TensorFlow, PyTorch, LangChain, Vector DB, GPT-4, and cloud platforms.
Project Mentorship: Guide students in end-to-end AI projects (e.g., computer vision apps, RAG-based systems) and capstone software solutions.
Stay Updated: Continuously integrate emerging tools (e.g., LLMOps, MLOps) and ethical AI practices into training content.
Feedback & Improvement: Assess student progress and adapt teaching methods to optimise learning outcomes.
Experience:




5+ years in AI/ML development (traditional ML, NLP, computer vision, Generative AI)
Technical Skills:
Proficiency in Python, data manipulation (NumPy, Pandas), and visualisation (Plotly, Matplotlib).
Expertise in deep learning (CNNs, RNNs), NLP (sentiment analysis), and Generative AI (LLMs, Prompt Engineering, Vector Databases, RAG).
Familiarity with cloud deployment (AWS/GCP/Azure) and MLOps practices.
Soft Skills: Exceptional communication, ability to simplify complex concepts, and mentor diverse learners.
2+ years in teaching/training, preferably with engineering students or professionals. Proven experience with AI tools (e.g., Scikit-learn, TensorFlow, GPT-4, LangChain, GitHub Copilot)

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