Deep Learning Faculty

7 days ago

Nagavara Bengaluru Karnataka, India Netcraftz Full time ₹ 2,40,000 - ₹ 3,60,000 per year

Freelance Deep Learning Faculty (Hourly) – Bangalore

Location: Bangalore, India (On-site)

Job Type: Freelance / Part-time

Compensation: Hourly

About the Role:

We are seeking an experienced and passionate Deep Learning Faculty to join our training team in Bangalore on a freelance basis. The ideal candidate will have a strong background in AI/ML, with a focus on Deep Learning, and a proven track record of teaching or training students or professionals.

This is a great opportunity for educators who enjoy flexible schedules and are looking to make an impact by training future AI professionals.

Key Responsibilities:

  • Deliver high-quality training sessions on Deep Learning topics (e.g., Neural Networks, CNNs, RNNs, Transformers, etc.).
  • Design or customize curriculum and training materials as needed.
  • Conduct assessments, provide feedback, and support learners throughout the training process.
  • Stay updated with the latest trends and advancements in Deep Learning and AI.
  • Collaborate with the training team to enhance learning outcomes.

Requirements:

  • Proven experience in teaching/training Deep Learning (classroom).
  • Strong understanding of Python, TensorFlow, PyTorch, and relevant libraries.
  • Ability to explain complex concepts in a simple and engaging manner.
  • Excellent communication and presentation skills.
  • Located in Bangalore and available for on-site sessions.
  • Availability for freelance/part-time engagement (hourly basis).

Nice to Have:

  • Prior experience teaching working professionals or college students.
  • Portfolio of past training content or recorded sessions.

How to Apply:

If you're passionate about teaching and AI, we'd love to hear from you

Please submit your CV, LinkedIn profile, and any demo video/portfolio (if available) to or DM to

Job Type: Part-time

Pay: ₹20, ₹30,000.00 per month

Expected hours: 45 per week

Work Location: In person

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