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Skills Required

ai training ml coding development content tensorflow pytorch vision software teaching learning python data numpy plotly analysis engineering deployment aws gcp azure communication github

Work Mode

On-site

Job Type

Full Time

Job Description

Job Location Bhopal (Onsite)

Salary 5-10 LPA

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:

  • 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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