Data Analytics n AI/MLTrainer

13 hours ago

Indore, Madhya Pradesh, India Jobsense Training & Placement Institute Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Jobsense is a leading IT Training Institute in Indore, committed to empowering students and professionals with cutting-edge technical skills and career-oriented programs. We are looking for a passionate
Data Analytics & AI/ML Trainer
who can deliver high-quality training sessions, mentor learners, and contribute to building industry-ready professionals.

Key Responsibilities

  • Deliver engaging sessions on
    Data Analytics, Artificial Intelligence (AI), and Machine Learning (ML)
    concepts.
  • Teach tools & technologies:
    Python, SQL, Excel, Power BI/Tableau, Statistics, Machine Learning, and AI frameworks (TensorFlow, Scikit-learn, etc.)
    .
  • Develop and update course modules, assignments, and real-world projects.
  • Conduct hands-on workshops, doubt-clearing sessions, assessments, and feedback.
  • Guide students through
    capstone projects in Data Analytics and AI/ML
    .
  • Stay updated with latest industry advancements in Data Science, AI & ML.
  • Support students in
    career preparation, interview readiness, and portfolio building
    .

Requirements

  • Bachelor's/Master's degree in
    Computer Science, Data Science, AI/ML, or related field
    .
  • Proven
    experience in Data Analytics and AI/ML training
    (fresh trainers with strong technical skills are also welcome).
  • Expertise in
    Python, SQL, Statistics, Power BI/Tableau, and Machine Learning algorithms
    .
  • Familiarity with
    AI/ML libraries
    (Pandas, Numpy, Scikit-learn, TensorFlow, Keras, PyTorch).
  • Excellent communication, presentation, and mentoring skills.
  • Ability to simplify complex technical concepts for diverse learners.

Preferred Skills

  • Knowledge of
    Deep Learning, NLP, and Generative AI
    is a strong advantage.
  • Prior
    corporate training or academic teaching experience
    .
  • Ability to conduct both
    classroom and online sessions
    .

Work Options

  • Full-time:
    10:00 AM – 7:00 PM (Monday to Saturday)
  • Part-time / Visiting Faculty:
    Flexible hours, based on batch schedules.

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