AI Tutor

Woways

Hyderabad

Remote

INR 400,000 - 640,000

Full time

2 days ago
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Job summary

Woways is seeking a passionate AI Tutor to deliver engaging, hands-on classes online, covering AI, ML and related technologies. You will teach Python, data handling, ML concepts, and live sessions that apply current AI tools and frameworks.

With 1–3+ years in AI/ML or teaching, you’ll design curriculum, mentor learners on portfolios and interview prep, and stay updated on new AI releases to enrich content.

Qualifications

  • 1–3+ years of experience in AI/ML development, technical training or teaching.
  • Strong knowledge of Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch.
  • Solid understanding of Machine Learning, Deep Learning, NLP and Generative AI concepts.
  • Hands‑on experience with the latest AI tools (e.g., ChatGPT, Claude, Gemini, Copilot), LLM APIs, prompt engineering and frameworks like LangChain.
  • Excellent communication and presentation skills, with the ability to explain complex topics simply.

Responsibilities

  • Plan and deliver live online classroom and sessions on AI, Machine Learning, Generative AI and related technologies.
  • Teach core technical concepts such as Python programming, data handling, ML algorithms and model building.
  • Conduct practical sessions on current AI tools, including LLMs, prompt engineering, AI agents and automation tools.
  • Design and update course curriculum, lesson plans, assignments, projects and assessments to match industry trends.
  • Guide learners through hands‑on, real‑world projects and resolve their technical doubts.
  • Evaluate learner progress, give constructive feedback and maintain batch performance records.
  • Mentor learners on career paths, portfolio building and interview preparation in AI roles.
  • Stay updated on new AI releases and frameworks, and bring them into the training content.

Skills

Python
ML concepts
NLP & Generative AI
LLMs & prompt engineering
Communication skills

Education

Bachelor's or Master's degree in Computer Science, IT, Data Science or related field

Tools

LangChain
LLM APIs

Job description

We are looking for a passionate AI Tutor to deliver engaging, hands‑on classes on Artificial Intelligence and modern technology. The ideal candidate has strong core technical skills and stays current with the latest AI tools, models and industry trends.

Key Responsibilities
  • Plan and deliver live online classroom and sessions on AI, Machine Learning, Generative AI and related technologies.
  • Teach core technical concepts such as Python programming, data handling, ML algorithms and model building.
  • Conduct practical sessions on current AI tools, including LLMs, prompt engineering, AI agents and automation tools.
  • Design and update course curriculum, lesson plans, assignments, projects and assessments to match industry trends.
  • Guide learners through hands‑on, real‑world projects and resolve their technical doubts.
  • Evaluate learner progress, give constructive feedback and maintain batch performance records.
  • Mentor learners on career paths, portfolio building and interview preparation in AI roles.
  • Stay updated on new AI releases and frameworks, and bring them into the training content.
Required Skills & Qualifications
  • Bachelors or Master’s degree in Computer Science, IT, Data Science or a related field.
  • 1–3+ years of experience in AI/ML development, technical training or teaching.
  • Strong knowledge of Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch.
  • Solid understanding of Machine Learning, Deep Learning, NLP and Generative AI concepts.
  • Hands‑on experience with the latest AI tools (e.g., ChatGPT, Claude, Gemini, Copilot), LLM APIs, prompt engineering and frameworks like LangChain.
  • Excellent communication and presentation skills, with the ability to explain complex topics simply.
Preferred Skills
  • Experience with cloud AI platforms (AWS, Azure or Google Cloud).
  • Knowledge of RAG, vector databases, AI agents and MLOps basics.
  • Prior experience in an EdTech or training institute environment.
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