Short-Term Trainer

2 weeks ago


Chennai, Tamil Nadu, India Constient Global Solutions Full time

About the Role:

I'm looking for a
hands-on trainer or developer
who can provide
short-term, focused training (2–4 weeks)
in
GPU programming using Python
. The goal is to build a strong conceptual and practical foundation — enough to apply GPU acceleration in academic and research projects.

If you're an experienced Python developer with CUDA, Numba, or PyTorch GPU optimization experience, and you enjoy teaching, this is a great short-term engagement.

Key Topics / Learning Goals:

  • GPU architecture basics (threads, blocks, warps, memory types)
  • Writing and running CUDA kernels using Python
  • GPU acceleration using
    Numba
    ,
    CuPy
    , and/or
    PyTorch Tensor operations
  • Profiling and optimizing GPU code
  • Hands-on mini projects (e.g., matrix multiplication, image filters, ML model acceleration)

Requirements:

  • Strong knowledge of
    GPU computing
    and
    Python-based parallelism
  • Experience with at least one of:
  • NVIDIA CUDA Toolkit
  • Numba / CuPy
  • PyTorch / TensorFlow GPU workflows
  • Prior teaching or mentoring experience preferred (not mandatory)
  • Ability to conduct
    live online sessions
    (flexible hours, 1–2 hrs/day preferred)

Engagement Details:

  • Duration: 2–4 weeks (flexible, part-time)
  • Mode: 100% Remote
  • Schedule: Flexible (evenings or weekends possible)
  • Compensation: Open / based on experience

Ideal For:

  • GPU developers who enjoy mentoring
  • AI/ML engineers familiar with performance optimization
  • Educators or freelancers with experience teaching technical courses

How to Apply:

Please comment or DM with:

  • Your experience with GPU programming in Python
  • Tools/libraries you use (CUDA, CuPy, Numba, PyTorch, etc.)
  • Expected hourly rate or total fee
  • Availability (start date and preferred time slot)

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