Job Location Bhopal (Onsite)

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 specialists. Proven experience with AI tools (e.g., Scikit-learn, TensorFlow, GPT-4, LangChain, GitHub Copilot)

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