Trainer

 

Description:

We are looking for a passionate and experienced Trainer to deliver our Data Science and Artificial Intelligence Certification Course. The trainer will be responsible for teaching foundational and advanced concepts, tools, and techniques used in the Data Science and AI domain, guiding students through hands-on projects, and preparing them for real-world challenges.

 

Key Responsibilities:

  • Deliver engaging and well-structured sessions on topics such as Python, Machine Learning, Deep Learning, NLP, Generative AI, and related tools.
  • Explain complex concepts in an easy-to-understand manner for beginners and intermediate learners.
  • Guide students through industry-relevant capstone projects and case studies.
  • Provide regular feedback, evaluations, and mentorship to students.
  • Continuously update the curriculum to align with current industry trends and tools (e.g., Hugging Face, LangChain, RAG, etc.).
  • Collaborate with the academic team for course planning and improvement.

 

Course Topics Include:

  • Python for Data Science
  • Data Wrangling & Visualization
  • Machine Learning (Supervised & Unsupervised)
  • Deep Learning (CNN, RNN, ANN)
  • Natural Language Processing (NLP)
  • Generative AI (LLMs, Prompt Engineering, Transformers, etc.)
  • Model Deployment and Real-World Applications
  • Tools: Jupyter, Google Colab, Scikit-Learn, TensorFlow, PyTorch, Hugging Face, LangChain, etc.

 

Requirements:

  • Bachelor's or Master's degree in Data Science, Computer Science, AI, or related field.
  • Minimum 2+ years of experience in Data Science or Artificial Intelligence roles.
  • Strong programming skills in Python and familiarity with ML/DL libraries.
  • Experience with Generative AI tools and frameworks is a strong plus.
  • Excellent communication and presentation skills.
  • Prior teaching, training, or mentoring experience is preferred.

Organization Analytix Camp
Industry IT / Telecom / Software Jobs
Occupational Category Trainer
Job Location Karachi,Pakistan
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Intermediate
Experience 2 Years
Posted at 2025-06-25 7:05 am
Expires on 2026-01-04